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Resource management of mobile cloud computing networks and environments 1st Edition Mastorakis
Resource management of mobile cloud computing
networks and environments 1st Edition Mastorakis
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Author(s): Mastorakis, George; Mavromoustakis, Constandinos X.; Pallis,
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ISBN(s): 9781680157321, 1680157329
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Resource management of mobile cloud computing networks and environments 1st Edition Mastorakis
Resource Management
of Mobile Cloud
Computing Networks and
Environments
George Mastorakis
Technological Educational Institute of Crete, Greece
Constandinos X. Mavromoustakis
University of Nicosia, Cyprus
Evangelos Pallis
Technological Educational Institute of Crete, Greece
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Editorial Advisory Board
Tasos Dagiuklas, Hellenic Open University, Greece
Ciprian Dobre, University Politehnica of Bucharest, Romania
Nuno Garcia, University of Beira Interior, Portugal
Daniel Négru, University of Bordeaux, France
Katerina Papanikolaou, European University Cyprus, Cyprus
Christos Politis, Kingston University London, UK
Charalampos Skianis, University of the Aegean, Greece
Vasos Vassiliou, University of Cyprus, Cyprus
Lei Wang, Dalian University of Technology, China
List of Reviewers
Demosthenes Akoumianakis, Technological Education Institution of Crete, Greece
Jordi Mongay Batalla, National Institute of Telecommunications, Poland
Athina Bourdena, University of Nicosia, Cyprus
Periklis Chatzimisios, Technological Educational Institute of Thessaloniki, Greece
Carl J. Debono, University of Malta, Malta
Paraskevi Fragopoulou, FORTH, Greece
Dimitrios Kosmopoulos, Technological Educational Institute of Crete, Greece
Harilaos Koumaras, NCSR Demokritos, Greece
Anastasios Kourtis, NCSR Demokritos, Greece
Michail Alexandros Kourtis, University of the Aegean, Greece
Prodromos Makris, University of the Aegean, Greece
Athanasios G. Malamos, Technological Educational Institute of Crete, Greece
Evangelos K. Markakis, University of the Aegean, Greece
Ioannis Pachoulakis, Technological Educational Institute of Crete, Greece
Costas Panagiotakis, Technological Educational Institute of Crete, Greece
Spyros Panagiotakis, Technological Educational Institute of Crete, Greece
Ilias Politis, University of Patras, Greece
Joel J. P. C. Rodrigues, University of Beira Interior, Portugal
Lambros Sarakis, Technological Educational Institute of Chalkida, Greece

Lei Shu, Guangdong University of Petrochemical Technology, China
Anargyros Sideris, University of the Aegean, Greece
Mamadou Sidibe, Viotech Communications, France
Dimitrios N. Skoutas, University of the Aegean, Greece
Dimitrios Stratakis, Technological Educational Institute of Crete, Greece
Georgios Triantafyllidis, Technological Educational Institute of Crete, Greece
Manolis Tsiknakis, Technological Educational Institute of Crete, Greece
Kostas Vassilakis, Technological Educational Institute of Crete, Greece
Nikolas Vidakis, Technological Educational Institute of Crete, Greece
Demosthenes Vouyioukas, University of the Aegean, Greece
George Xilouris, NCSR Demokritos, Greece
Nikos Zotos, University of Aegean, Greece


Table of Contents

Preface.
...............................................................................................................................................xviii
Acknowledgment...............................................................................................................................xxvi
Section 1
Introduction and Applications of Mobile Cloud Computing
Chapter 1
Mobile Cloud Computing: An Introduction............................................................................................ 1
Jyoti Grover, Global Institute of Technology, India
Gaurav Kheterpal, Metacube Software Private Limited, India
Chapter 2
The Technical Debt in Cloud Software Engineering: A Prediction-Based and Quantification
Approach................................................................................................................................................ 24
Georgios Skourletopoulos, Scientia Consulting S.A., Greece
Rami Bahsoon, University of Birmingham, UK
Constandinos X. Mavromoustakis, University of Nicosia, Cyprus
George Mastorakis, Technological Educational Institute of Crete, Greece
Chapter 3
Anomaly Detection in Cloud Environments.......................................................................................... 43
Angelos K. Marnerides, Liverpool John Moores University, UK
Section 2
Mobile Cloud Resource Management
Chapter 4
Mobile Cloud Resource Management.
................................................................................................... 69
Konstantinos Katzis, European University Cyprus, Cyprus

Chapter 5
A Social-Oriented Mobile Cloud Scheme for Optimal Energy Conservation....................................... 97
Constandinos X. Mavromoustakis, University of Nicosia, Cyprus
George Mastorakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece
Athina Bourdena, University of Nicosia, Cyprus
Evangelos Pallis, Technological Educational Institute of Crete – Heraklion, Greece
Dimitrios Stratakis, Technological Educational Institute of Crete – Heraklion, Greece
Emmanouil Perakakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece
Ioannis Kopanakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece
Stelios Papadakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece
Zaharias D. Zaharis, Aristotle University of Thessaloniki, Greece
Christos Skeberis, Aristotle University of Thessaloniki, Greece
Thomas D. Xenos, Aristotle University of Thessaloniki, Greece
Chapter 6
Traffic Analyses and Measurements: Technological Dependability.................................................... 122
Rossitza Goleva, Technical University of Sofia, Bulgaria
Dimitar Atamian, Technical University of Sofia, Bulgaria
Seferin Mirtchev, Technical University of Sofia, Bulgaria
Desislava Dimitrova, ETH Zurich, Switzerland
Lubina Grigorova, Vivacom JSCO, Bulgaria
Rosen Rangelov, Lufthansa Technik-Sofia, Bulgaria
Aneliya Ivanova, Technical University of Sofia, Bulgaria
Section 3
Content-Aware Streaming in Mobile Cloud
Chapter 7
Adaptation of Cloud Resources and Media Streaming in Mobile Cloud Networks for Media
Delivery.
............................................................................................................................................... 175
Jordi Mongay Batalla, National Institute of Telecommunications, Poland  Warsaw
University of Technology, Poland
Chapter 8
Context-Awareness in Opportunistic Mobile Cloud Computing......................................................... 203
Radu-Corneliu Marin, University Politehnica of Bucharest, Romania
Radu-Ioan Ciobanu, University Politehnica of Bucharest, Romania
Radu Pasea, University Politehnica of Bucharest, Romania
Vlad Barosan, University Politehnica of Bucharest, Romania
Mihail Costea, University Politehnica of Bucharest, Romania
Ciprian Dobre, University Politehnica of Bucharest, Romania

Chapter 9
H.265 Video Streaming in Mobile Cloud Networks............................................................................ 238
Qi Wang, University of the West of Scotland, UK
James Nightingale, University of the West of Scotland, UK
Jose M. Alcaraz-Calero, University of the West of Scotland, UK
Chunbo Luo, University of the West of Scotland, UK
Zeeshan Pervez, University of the West of Scotland, UK
Xinheng Wang, University of the West of Scotland, UK
Christos Grecos, University of the West of Scotland, UK
Section 4
Network and Service Virtualization
Chapter 10
Virtualization Evolution: From IT Infrastructure Abstraction of Cloud Computing to
Virtualization of Network Functions................................................................................................... 279
Harilaos Koumaras, NCSR Demokritos, Greece
Christos Damaskos, NCSR Demokritos, Greece
George Diakoumakos, NCSR Demokritos, Greece
Michail-Alexandros Kourtis, NCSR Demokritos, Greece
George Xilouris, NCSR Demokritos, Greece
Georgios Gardikis, NCSR Demokritos, Greece
Vaios Koumaras, NCSR Demokritos, Greece
Thomas Siakoulis, NCSR Demokritos, Greece
Chapter 11
Towards Ubiquitous and Adaptive Web-Based Multimedia Communications via the Cloud............. 307
Spyros Panagiotakis, Technological Educational Institute of Crete, Greece
Ioannis Vakintis, Technological Educational Institute of Crete, Greece
Haroula Andrioti, Technological Educational Institute of Crete, Greece
Andreas Stamoulias, Technological Educational Institute of Crete, Greece
Kostas Kapetanakis, Technological Educational Institute of Crete, Greece
Athanasios Malamos, Technological Educational Institute of Crete, Greece
Chapter 12
A Resource Prediction Engine for Efficient Multimedia Services Provision...................................... 361
Yiannos Kryftis, University of Nicosia, Cyprus
George Mastorakis, Technological Educational Institute of Crete, Greece
Constandinos X. Mavromoustakis, University of Nicosia, Cyprus
Jordi Mongay Batalla, National Institute of Telecommunications, Poland  Warsaw
University of Technology, Poland
Athina Bourdena, University of Nicosia, Cyprus
Evangelos Pallis, Technological Educational Institute of Crete, Greece

Compilation of References................................................................................................................ 381
About the Contributors..................................................................................................................... 419
Index.................................................................................................................................................... 431


Detailed Table of Contents

Preface.
...............................................................................................................................................xviii
Acknowledgment...............................................................................................................................xxvi
Section 1
Introduction and Applications of Mobile Cloud Computing
This section comprises an introduction to cloud computing as a recently emerged technology in the
wireless communication era. It elaborates on issues related to the mobile cloud computing concept,
which has become an important research area due to the rapid growth of the applications in the mobile
computing environments. It also presents research approaches associated with the prediction and the
quantification of the technical debt in cloud software engineering. Finally, it provides insight and reports
the results derived by particular methodologies that jointly consider cloud-specific properties and rely
on the Empirical Mode Decomposition (EMD) approaches.
Chapter 1
Mobile Cloud Computing: An Introduction............................................................................................ 1
Jyoti Grover, Global Institute of Technology, India
Gaurav Kheterpal, Metacube Software Private Limited, India
Mobile Cloud Computing (MCC) has become an important research area due to rapid growth of mobile
applications and emergence of cloud computing. MCC refers to integration of cloud computing into a
mobile environment. Cloud providers (e.g. Google, Amazon, and Salesforce) support mobile users by
providingtherequiredinfrastructure(e.g.servers,networks,andstorage),platforms,andsoftware.Mobile
devices are rapidly becoming a fundamental part of human lives and these enable users to access various
mobile applications through remote servers using wireless networks. Traditional mobile device-based
computing, data storage, and large-scale information processing is transferred to “cloud,” and therefore,
requirement of mobile devices with high computing capability and resources are reduced. This chapter
provides a survey of MCC including its definition, architecture, and applications. The authors discuss
the issues in MCC, existing solutions, and approaches. They also touch upon the computation offloading
mechanism for MCC.

Chapter 2
The Technical Debt in Cloud Software Engineering: A Prediction-Based and Quantification
Approach................................................................................................................................................ 24
Georgios Skourletopoulos, Scientia Consulting S.A., Greece
Rami Bahsoon, University of Birmingham, UK
Constandinos X. Mavromoustakis, University of Nicosia, Cyprus
George Mastorakis, Technological Educational Institute of Crete, Greece
Predicting and quantifying promptly the Technical Debt has turned into an issue of significant importance
over recent years. In the cloud marketplace, where cloud services can be leased, the difficulty to identify
the Technical Debt effectively can have a significant impact. In this chapter, the probability of introducing
the Technical Debt due to budget and cloud service selection decisions is investigated. A cost estimation
approach for implementing Software as a Service (SaaS) in the cloud is examined, indicating three
scenarios for predicting the incurrence of Technical Debt in the future. The Constructive Cost Model
(COCOMO) is used in order to estimate the cost of the implementation and define a range of secureness
by adopting a tolerance value for prediction. Furthermore, a Technical Debt quantification approach is
researched for leasing a cloud Software as a Service (SaaS) in order to provide insights about the most
appropriate cloud service to be selected.
Chapter 3
Anomaly Detection in Cloud Environments.......................................................................................... 43
Angelos K. Marnerides, Liverpool John Moores University, UK
Cloud environments compose unique operational characteristics and intrinsic capabilities such as
service transparency and elasticity. By virtue of their exclusive properties as being outcomes of their
virtualized nature, these environments are prone to a number of security threats either from malicious or
legitimate intent. By virtue of the minimal proactive properties attained by off-the-shelf signature-based
commercial detection solutions employed in various infrastructures, cloud-specific Intrusion Detection
System (IDS) Anomaly Detection (AD)-based methodologies have been proposed in order to enable
accurate identification, detection, and clustering of anomalous events that could manifest. Therefore, in
this chapter the authors firstly aim to provide an overview in the state of the art related with cloud-based
AD mechanisms and pinpoint their basic functionalities. They subsequently provide an insight and report
some results derived by a particular methodology that jointly considers cloud-specific properties and
relies on the Empirical Mode Decomposition (EMD) algorithm.
Section 2
Mobile Cloud Resource Management
This section examines the various types of resource management techniques that are available for the
mobile clouds, such as resource offloading, mobile cloud infrastructure and mobile device power control,
controltheory,datamining,machinelearning,radiospectrummanagement,andmobilecloudcomputing
economic-oriented mechanisms. It also elaborates on issues related to the social-oriented context of the
mobile cloud computing environments to support optimal energy conservation of the mobile devices.
Finally, it elaborates on traffic analysis and measurement issues in emerging mobile computing systems.

Chapter 4
Mobile Cloud Resource Management.
................................................................................................... 69
Konstantinos Katzis, European University Cyprus, Cyprus
Providing mobile cloud services requires seamless integration between various platforms to offer
mobile users optimum performance. To achieve this, many fundamental problems such as bandwidth
availability and reliability, resource scarceness, and finite energy must be addressed before rolling out
such services. This chapter aims to explore technological challenges for mobile cloud computing in the
area of resource management focusing on both parts of the infrastructure: mobile devices and cloud
networks. Starting with introducing mobile cloud computing, it then stresses the importance of resource
management in the operation of mobile cloud services presenting various types of resources available
for cloud computing. Furthermore, it examines the various types of resource management techniques
available for mobile clouds. Finally, future directions in the field of resource management for mobile
cloud computing environment are presented.
Chapter 5
A Social-Oriented Mobile Cloud Scheme for Optimal Energy Conservation....................................... 97
Constandinos X. Mavromoustakis, University of Nicosia, Cyprus
George Mastorakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece
Athina Bourdena, University of Nicosia, Cyprus
Evangelos Pallis, Technological Educational Institute of Crete – Heraklion, Greece
Dimitrios Stratakis, Technological Educational Institute of Crete – Heraklion, Greece
Emmanouil Perakakis, Technological Educational Institute of Crete – Agios Nikolaos,
Greece
Ioannis Kopanakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece
Stelios Papadakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece
Zaharias D. Zaharis, Aristotle University of Thessaloniki, Greece
Christos Skeberis, Aristotle University of Thessaloniki, Greece
Thomas D. Xenos, Aristotle University of Thessaloniki, Greece
This chapter elaborates on energy usage optimization issues by exploiting a resource offloading process
based on a social-oriented mobile cloud scheme. The adoption of the proposed scheme enables for
increasing the reliability in services provision to the mobile users by guaranteeing sufficient resources
for the mobile application execution. More specifically, this chapter describes the process to improve
the energy consumption of the mobile devices through the exploitation of a social-oriented model and a
cooperative partial process offloading scheme. This research approach exploits social centrality, as the
connectivity model for the resource offloading, among the interconnected mobile devices to increase
the energy usage efficiency, the mobile nodes availability, as well as the process of execution reliability.
The proposed scheme is thoroughly evaluated to define the validity and the efficiency for the energy
conservation increase of future mobile computing devices.

Chapter 6
Traffic Analyses and Measurements: Technological Dependability.................................................... 122
Rossitza Goleva, Technical University of Sofia, Bulgaria
Dimitar Atamian, Technical University of Sofia, Bulgaria
Seferin Mirtchev, Technical University of Sofia, Bulgaria
Desislava Dimitrova, ETH Zurich, Switzerland
Lubina Grigorova, Vivacom JSCO, Bulgaria
Rosen Rangelov, Lufthansa Technik-Sofia, Bulgaria
Aneliya Ivanova, Technical University of Sofia, Bulgaria
Resource management schemes in current data centers, including cloud environments, are not well
equipped to handle the dynamic variation in traffic caused by the large diversity of traffic sources, source
mobility patterns, and underlying network characteristics. Part of the problem is lacking knowledge on
the traffic source behaviour and its proper representation for development and operation. Inaccurate,
static traffic models lead to incorrect estimation of traffic characteristics, making resource allocation,
migration, and release schemes inefficient, and limit scalability. The end result is unsatisfied customers
(due to service degradation) and operators (due to costly inefficient infrastructure use). The authors argue
that developing appropriate methods and tools for traffic predictability requires carefully conducted and
analysed traffic experiments. This chapter presents their measurements and statistical analyses on various
traffic sources for two network settings, namely local Area Network (LAN) and 3G mobile network.
LAN traffic is organised in DiffServ categories supported by MPLS to ensure Quality of Service (QoS)
provisioning. 3G measurements are taken from a live network upon entering the IP domain. Passive
monitoring was used to collect the measurements in order to be non-obtrusive for the networks. The
analyses indicate that the gamma distribution has general applicability to represent various traffic sources
by proper setting of the parameters. The findings allow the construction of traffic models and simulation
tools to be used in the development and evaluation of flexible resource management schemes that meet
the real-time needs of the users.
Section 3
Content-Aware Streaming in Mobile Cloud
This section provides some novel applications that have been made possible by the rapid emergence of
cloud computing resources and elaborates on content-aware streaming issues in mobile cloud computing
environments. More specifically, it presents novel adaptation methods of cloud resources and media
streaming techniques in mobile cloud networks for efficient media delivery. It then elaborates on context-
awareness issues in opportunistic mobile cloud computing environments and context-aware adaptive
streaming based on the latest video coding standard H.265 in the context of Internet-centric mobile
cloud networking.
Chapter 7
Adaptation of Cloud Resources and Media Streaming in Mobile Cloud Networks for Media
Delivery.
............................................................................................................................................... 175
Jordi Mongay Batalla, National Institute of Telecommunications, Poland  Warsaw
University of Technology, Poland
Multimedia content delivery is one of the use cases of Mobile Cloud Networks. Cloud Networks are then
calledMediaClouds.Sincemobile devicesarebecomingincreasinglyimportant receptorsofMultimedia
content, Mobile Cloud Computing is undertaking an important role for delivering Multimedia content
Exploring the Variety of Random
Documents with Different Content
Cribb, Tom, and Jem Belcher, 30-33, 41-43, 74, 92;
supports John Gulley, 35;
Gregson’s lines in honour of, 40;
and Molineux, 44, 46-54, 68, 75;
a remark of, 61;
seconds Spring, 68, 73, 75-77.
Crookham Common, Yankee Sullivan v. Hammer Lane
contest, 87.
Crosby, near Liverpool, 94.
Crouch, Abe, and Tom Sayers, 99.
Cumberland, Duke of, patron of Broughton, 5-6.
Curphey, Jack, and Bombardier Wells, 173.
Curtis, Dick, seconds Deaf Burke, 81, 83.
Customs of the Ring, 95.
Daily Oracle and Advertiser, 21.
Davis, Tom, and Hammer Lane, 92.
Deaths, accidental, 80-84.
Deerhurst, Lord, 73.
Dempsey, Jack, and Fitzsimmons, 133, 183;
—— (The new), and Jess Willard, 162, 183;
and Georges Carpentier, 183-88, 192.
Descamps, M., manager to Georges Carpentier, 168;
gymnasium of, 176-78;
intervention in the Carpentier v. Jeff Smith contest, 181;
power of, 192.
Dieppe, Carpentier v. Klaus, contest at, 178.
Dixson, W. Wilmott, see “Thormanby.”
Don river, 17.
Doncaster, 17.
Doyle, Sir A. Conan, Rodney Stone, 25.
Driscoll, Jem, style, 154, 157, 199;
winner of the Lonsdale belt, 194;
and Spike Robson, 194-97;
and Jean Poésy, 197-98.
—— Jerry, and Charlemagne, 176.
Dunstable volunteers called out, 36.
Eales, 59.
Edinburgh Star, The, 54.
Egan, Pierce, quoted, on Perrins and Johnson, 8-9;
on the Humphries-Mendoza contest, 14;
on the rules of 1795, 20;
on the “Lancashire” method, 38;
on Gregson, 39;
on Cribb v. Molineux, 46-50.
“English attitude,” the, 69.
English Heavy-Weight Championship held by
Bombardier Wells, 164.
Epsom racecourse, the, 41.
Farnborough, Heenan v. Sayers contest, 108.
Fearby and Belcher, 25, 27.
Fewterel of Birmingham, 19.
Figg, 3.
Fight, The, Hazlitt, 64.
“Fight,” use of the term condemned, 126, note.
Film, the, and Boxing, 149.
Finchley Common, 24.
Fisher, 59.
Fistiania, or the Oracle of the Ring, cited, 3.
Fitzsimmons, Mrs., 136.
—— Robert, and James J. Corbett, 133-38;
and James J. Jefferies, 139-46, 160;
character, 171.
Fives Court, St. Martin’s Street, 59.
“Fly-Weight Champion of the World,” Jimmy Wilde’s
title, 199-200.
Foley, Larry, 121.
Fouls, 91, 113;
Bendigo and Caunt, 85-86.
French Flying Corps, 183.
French, the, as boxers, 109.
From Pit Boy to Champion Boxer, Lucas, 177.
Gamble, Andrew, and Jem Belcher, 24.
Gaynor, Tom, 81.
Ghent Exhibition, Carpentier v. Wells match, 165-66.
Gibbons, Bill, second to Gulley, 37;
to Molineux, 53.
Goddard, Frank, and Joe Beckett, 172-73.
Goodricke, Sir H., 73.
Grain, Isle of, 103.
Grant, Jack, and Tom Sayers, 99.
Gregson, Bob, and John Gulley, 35-39;
personality, 39-40.
Gulley, John, and Hen Pearce, 26, 34-35;
and Bob Gregson, 35-39;
seconds Cribb, 46, 53.
Hague, Iron, 164.
Hailsham, 34.
Hall, Jem, and Fitzsimmons, 133.
Hamilton, Colonel, 17.
Hampton Court, 30.
Hannan, seconds Bendigo, 97.
Harmer, Harry, 59;
seconds Neate, 64, 68.
Hart, Marvin, and Tommy Burns, 148.
Hatfield, Caunt trained at, 94.
Hayes, Bill, 103.
Hazlitt, William, The Fight, 64;
description of Neate v. Hickman, 65.
“Heavy-Weight,” Times article on the Heenan-Sayers
match, 116-17.
Heenan, John, Tom Sayers and, 107-17.
Hertford Assizes, trial on death of Simon Byrne, 84.
—— Police, warrant to apprehend Tom Sayers, 107.
Hickman, Tom, 59;
Bill Neate and, 64-67.
Hinkley Downs, 68.
Holborn Stadium, Joe Beckett v. Wells match, 172;
Jimmy Wilde v. Alf Mansfield, 199-200.
Hole in the Wall, Chancery Lane, 63.
Holt, 59.
Home Office, intervention in the proposed Wells v.
Johnson match, 164.
Hornchurch, 19.
Hounslow Races, 4.
Hudson, Josh, 59;
seconds Langham, 73.
Humphries, Richard, 57;
and Daniel Mendoza, 1787, 12-14;
1789, 15-16;
1790, 17-19.
Hungerford, 64.
Hurley Bottom, near Maidenhead, 25.
India, Championship held by Wells, 164.
Ingleston, George, 19.
Jackson, John, second to Humphries, 17;
and Mendoza, 19-20;
a letter to Mendoza, 21;
rooms at Old Bond Street, 21-22, 52;
keeps time in Belcher v. Cribb, 30;
superintending the ring, 46, 53, 70, 76.
—— Peter, reputation, 45, 149, 151, 158;
and Frank Slavin, 121-26;
and James Corbett, 121-22.
Jefferies, James J., methods, 134;
and Robert Fitzsimmons, 139-46;
and Jack Johnson, 158-62.
Jews among the boxers of England, 12.
Johnson, Jack, reputation, 44, 85;
and Tommy Burns, 147-53;
and James J. Jefferies, 158-62.
—— Tom, and Isaac Perrins, 7-11;
second to Humphries, 13, 16, 17;
to Mendoza, 17;
his figure, 26;
and Tom Sayers, 108;
character, 171.
“Jolly Butchers,” Wardour St., 26.
Jones, Paddington, and Jem Belcher, 24;
seconds Molineux, 46.
—— Tom, and Isaac Bittoon, 24-25.
Journee, Paul, and Wells, 173.
Keene, Alec, seconds Tom Sayers, 99, 101.
Kilrain, Jake, and Sullivan, 128-30.
Klaus, Frank, and Carpentier, 178.
Lane, Hammer, and Yankee Sullivan, 87-92;
and Tom Davis, 92.
Langan, Jack and Tom Spring, 72-78;
generosity of, 78-79.
Langham, Nat, and Tom Sayers, 99-103.
Ledoux, Charles, 194.
Lee, Harry, and Mendoza, 20.
—— Tancy, 194.
Lens, colliers of, and Carpentier, 165-66, 176.
Levinsky, Battling, and Carpentier, 183.
Longford, Lord, backer of Bendigo, 98.
Lonsdale Belt, Pat O’Keefe the winner, 167;
won by Jem Driscoll, 194.
Lonsdale, Lord, on the use of the word “Fight,” 126,
note.
Lucas, F. H., From Pit Boy to Champion Boxer, 177.
“Lying on,” art of, 155.
Macdonald, Jack, seconds Perry 103.
Mace, Jem, 121;
competition organised by, 133.
McGoorty, Eddie, and Beckett, 173;
and Bombardier Wells, 173.
McKay, death of, 80.
Maher, Peter, 133.
Mahoney, Packey, 166.
Mansfield, Alf, and Jimmy Wilde, 199-200.
Martin, Jack, and Jack Randall, 62-63.
Mendoza, Daniel, 57;
and Richard Humphries, 12-19;
and John Jackson, 19-20;
and Harry Lee, 20;
and Tom Owen, 21.
Miles, Henry Downs, Pugilistica, by, 49.
Mitchell, Charley, seconds Kilrain, 130.
Moir, Gunner, and Tommy Burns, 148-49;
and Bombardier Wells, 167.
Molineux and Tom Cribb, 40, 44, 46-54, 68, 75;
history of, 45-46.
Molyneux, and Hammer Lane, 88.
Monte Video, boxing in, 202.
Moulsey Hurst, 30.
“Mouth fighting,” 145-46, 151-54.
“Mufflers,” 34.
National Sporting Club contests:
Frank Slavin v. Peter Jackson, 121-26;
a private meeting with Fitzsimmons, 134;
Wells v. Iron Hague, 164;
Wells v. Packey Mahoney, 166;
Carpentier v. Wells, 167;
Jem Driscoll contests, 194, 197-98.
Neate, Bill, and Tom Hickman, 64-67;
and Tom Spring, 68-71;
manner of, 95.
New Jersey, U.S.A., Jack Dempsey v. Carpentier, 184.
New Orleans, Sullivan v. Corbett, 128-29.
Newbury in Berkshire, Neate v. Hickman, 64.
Nichols, George, and Tom Cribb, 30.
Nigger, the, in Boxing, 44-45.
No Man’s Land, Hertfordshire, Deaf Burke v. Simon
Byrne, 80.
No-Decision contests, 146.
Northumberland, Duke of, and Bill Richmond, 46.
Nosworthy, 59.
“Nottingham Lambs” support Bendigo, 96-97.
Nottingham Steeplechases, 1840, 93.
Odiham in Hampshire, 12.
O’Keefe, Pat, and Bombardier Wells, 167;
and Joe Beckett, 172.
Old Bond Street, Jackson’s rooms, 21-22.
“Old K Legs,” nickname of the Tipton Slasher, 103.
Old Swan Stairs, 7.
Oliver, Tom, seconds Jack Randall, 59-60;
and Tom Hickman, 64.
Olympia, Joe Beckett v. Bombardier Wells, 173-75.
O’Neill, Colonel, Langan’s backer, 76-77.
Osbaldiston, Squire, referee in Bendigo v. Caunt, 95, 97.
Owen, Tom, 59;
and Mendoza, 21;
seconds Ned Turner, 60.
Painter, Ned, seconds Spring, 68, 73, 76;
referee in Sullivan v. Lane, 91.
Palmer, Pedlar, 194.
Papke, and Carpentier, 178.
Parish, 59.
Parker, Tass, Bendigo’s challenge, 93;
and the Tipton Slasher, 102;
seconds William Perry, 103.
Pearce, Henry, and Jem Belcher, 26-29;
and John Gulley, 34, 36.
Perrins, Isaac, 103;
and Tom Johnson, 7-11.
Perry, William, see Slasher, the Tipton.
Pinckney, Mr., 45.
Plimmer, Billy, 194.
Plough Inn, Carey Street, 34.
Poésy, Jean, and Jem Driscoll, 192-98;
and Digger Stanley, 198.
Pontefract, 34.
Prize money, amount in 1789, 7-8.
Prize-Ring, the, and modern Boxing, 201-4.
Punch, lines by Thackeray on the Sayers-Heenan
contest, 114-16;
on the boxer’s appearance, 171.
Pugilistic Benevolent Association, revised Rules of the
Ring, 204-8.
Pugilistica, Miles, quoted, 49.
Randall, Jack, 59;
and Ned Turner, 60-62;
and Jack Martin, 62-63.
Reeves, Harry, and Bombardier Wells, 173.
Referee, action regarding “breaking,” 139-40;
duty of the, 156.
Reno in Nevada, Jefferies v. Johnson, 158-62.
Reynolds, Tom, seconds Langan, 73-75;
complaint of, 75.
Richmond, Bill, and Tom Cribb, 30;
supports Bob Gregson, 35;
seconds Molineux, 44-46, 49-50, 52-53;
seconds Ned Turner, 59-60.
Ring, broken in the Langan v. Spring contest, 73.
Robertson, Colonel Archibald, 107-8.
Robson, Spike, and Jem Driscoll, 194-97.
Rodney Stone, Conan Doyle, 25.
Ruhlin, Gus, 139.
Rules of the American Union, 146.
Rules of the Ring, 96, 204-8;
English, regarding hitting in holds, 139-40.
Rushcutter’s Bay, Sydney, Tommy Burns v. Jack
Johnson, 150.
St. Martin’s Street, the racquets court, 25.
Sampson, 59.
San Francisco, Jefferies v. Fitzsimmons, 143.
Savate, La, decay of, 176.
Sawbridgeworth, 56.
Say and Sele, Lord, backs Jem Belcher, 30.
Sayers, Tom, 53;
and Nat Langham, 99-101;
and the Tipton Slasher, 102;
warrant for his arrest, 107-8;
and the Benicia Boy, 107-17;
character, 171.
Scholfield, J., 51.
Scroggins, Jack, and Ned Turner, 55-59.
Seabright, Sir John, 37.
Sellinger Cup Week, 1790, 17.
Shelton, Tom, 59;
seconds Hickman, 64.
Shepperton, Turner v. Sayers, 58.
Six Mile Bottom, near Newmarket, 35.
Slack, Jack, and Broughton, 3-6;
Jem Belcher his grandson, 23.
Slasher, the Tipton (William Perry), and Tom Sayers,
102.
Slavin, Frank, and Peter Jackson, 121-26.
Smith, Dick, and Joe Beckett, 172-73;
and Carpentier, 183.
—— Jeff, and Georges Carpentier, 176, 178-82.
Spring, Tom, 59;
Broughton compared with, 4;
seconds Hickman, 64, 66;
and Bill Neate, 68-71;
and Jack Langan, 72-78;
death of, 79;
seconds Simon Byrne, 81-84;
attitude, 86;
interest in Caunt, 94, 96;
character, 171.
Stanley, Digger, and Jean Poésy, 198.
Stewart, Mr., 25.
Stilton in Huntingdon, 15.
Stock Exchange, gift to Molineux, 50.
Sullivan, John L., 135;
James J. Corbett and, 127-32.
—— Yankee, and Hammer Lane, 88-92.
Summers, Johnny, 194.
Sutfield Green, Oxford, Bendigo v. Caunt, 94.
Swift, Owen, and Hammer Lane, 87;
action of, 106.
Thackeray, W. M., articles in the Cornhill Magazine and
Punch on the Sayers-Heenan match, 114-16.
Thirty Years a Boxing Referee, Eugene Corri, 122.
Thistleton Gap, 51.
Thompson, John, 85, 93.
—— William, see Bendigo.
—— Mrs., 94.
“Thormanby,” pen-name of W. Wilmott Dixson, 52;
on Molineux, 45;
Boxers and their Battles, quoted, 49, 52;
generosity of, 78-79;
on Bendigo’s arrest, 85, 93, 98.
Thornton, Mr., 15.
Thurtell, 64.
Times, The, letter from Molineux to Cribb, 51;
notice regarding Tom Sayers’s fight, 107;
on the Heenan-Sayers contest, 111;
article by “Heavy-Weight,” 116-17;
report of Deaf Burke’s trial, 201.
Townley, Arthur, and Bombardier Wells, 173.
Turner, Ned, and Jack Scroggins, 55-59;
and Jack Randall, 60-62.
Turners, the three, 59.
Union Arms, Panton Street, 54.
Ward, Jem, the Championship held by, 68, 80;
seconds Simon Byrne, 81, 82, 84;
seconds Bendigo, 87, 97;
gives the Champion’s belt to Bendigo, 93.
—— Joe, seconds Gulley, 37;
seconds Cribb, 46, 49-50, 53.
—— Nick, and Ben Caunt, 93.
Warr, Bill, 24.
Weare, Mr., backs Bill Neate, 64.
Wells, Bombardier, and Georges Carpentier, 163-69;
character, 163-64;
appearance, 170;
and Joe Beckett, 170-76;
and Arthur Townley, 173;
and Eddie McGoorty, 173;
and Harry Reeves, 173;
and Jack Curphey, 173;
and Paul Journee, 173.
Whitaker, 59.
White, seconds Jack Randall, 60.
“White hope,” a search for, 158-59, 164.
Wilde, Jimmy, Fly-Weight Champion of the World, 198-
200;
and Alf Mansfield, 199-200.
Willard, Jess, and Jack Johnson, 162;
and Jack Dempsey, 183.
Winnings, amount in 1750, 6.
Winter, see Spring, Tom.
Women at the Albert Hall, 190.
Worcester Racecourse, Spring v. Langan, 72-73.
“World’s Championship,” the phrase, 121;
holders in 1915 and after, 162;
Sullivan’s title, 128;
World’s Middle-Weight Championship held by Robert
Fitzsimmons, 133;
the Heavy-Weight Championship won by Tommy Burns, 148.
GLASGOW: W. COLLINS SONS AND CO. LTD.
FOOTNOTES:
1 “In Praise of the Fist,” from Life and Flowers, translated by
the late Alexander Teixeira de Mattos.
2 Pugilistica, by Henry Downs Miles; Boxers and Their
Battles, by “Thormanby.”
3 See Rule 28, Appendix.
4 Just before this encounter, Lord Lonsdale, President of the
Club, had especially urged his hearers not to use the word
“Fight” in connection with these proceedings—in view of
the fact, no doubt, that a “Prize-Fight” was illegal. Mr.
Angle may have forgotten this, or he may have been
misreported. The club’s sensitiveness to the use of words
is very delicate, and by one of its officials I was once
reprimanded at a supper following the Oxford and
Cambridge matches for proposing the toast of “The Ring.”
5 This rule is only binding on members of the P.B.A. or
persons signing articles to fight under their rules, and was
made to meet cases where men finding themselves
equally matched should attempt, by standing and looking
at one another, as has been sometimes the case, for half
an hour at a time, to protract the battle till dark, and thus
have an opportunity of making a draw.
Transcriber’s Note:
Obvious printer errors corrected silently.
Inconsistent spelling and hyphenation are as in the original.
One unpaired double quotation mark could not be corrected
with confidence.
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  • 5. Resource management of mobile cloud computing networks and environments 1st Edition Mastorakis Digital Instant Download Author(s): Mastorakis, George; Mavromoustakis, Constandinos X.; Pallis, Evangelos ISBN(s): 9781680157321, 1680157329 Edition: 1 File Details: PDF, 23.92 MB Year: 2015 Language: english
  • 7. Resource Management of Mobile Cloud Computing Networks and Environments George Mastorakis Technological Educational Institute of Crete, Greece Constandinos X. Mavromoustakis University of Nicosia, Cyprus Evangelos Pallis Technological Educational Institute of Crete, Greece A volume in the Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series
  • 8. Published in the United States of America by Information Science Reference (an imprint of IGI Global) 701 E. Chocolate Avenue Hershey PA, USA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: cust@igi-global.com Web site: http://www.igi-global.com Copyright © 2015 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. Library of Congress Cataloging-in-Publication Data British Cataloguing in Publication Data A Cataloguing in Publication record for this book is available from the British Library. All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher. For electronic access to this publication, please contact: eresources@igi-global.com. CIP Data - Pending ISBN: 978-1-4666-8225-2 (hardcover) ISBN: 978-1-4666-8226-9 (ebook) This book is published in the IGI Global book series Advances in Systems Analysis, Software Engineering, and High Perfor- mance Computing (ASASEHPC) (ISSN: 2327-3453; eISSN: 2327-3461) Managing Director: Managing Editor: Director of Intellectual Property Contracts: Acquisitions Editor: Production Editor: Development Editor: Typesetter: Cover Design: Lindsay Johnston Austin DeMarco Jan Travers Kayla Wolfe Christina Henning Brandon Carbaugh Amanda Smith Jason Mull
  • 9. TheAdvancesinSystemsAnalysis,SoftwareEngineering,andHighPerformanceComputing (ASASEHPC)BookSeries(ISSN2327-3453) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titles available for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-systems-analysis-software-engineering/73689. Postmaster: Send all address changes to above address. Copyright © 2015 IGI Global. All rights, including translation in other languages reserved by the publisher. No part of this series may be reproduced or used in any form or by any means – graphics, electronic, or mechanical, including photocopying, recording, taping, or information and retrieval systems – without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global. IGI Global is currently accepting manuscripts for publication within this series. To submit a pro- posal for a volume in this series, please contact our AcquisitionEditorsatAcquisitions@igi-global.com or visit: http://www.igi-global.com/publish/. • Performance Modelling • Computer Networking • Network Management • Software Engineering • Computer Graphics • Virtual Data Systems • Storage Systems • Engineering Environments • Parallel Architectures • Enterprise Information Systems Coverage The theory and practice of computing applications and distributed systems has emerged as one of the key areas of research driving innovations in business, engineering, and science. The fields of software engineering, systems analysis, and high performance computing offer a wide range of applications and solutions in solving computational problems for any modern organization. The Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series brings together research in the areas of distributed computing, systems and softwareengineering,highperformancecomputing,andservicescience.Thiscollectionofpublicationsis usefulforacademics,researchers,andpractitionersseekingthelatestpracticesandknowledgeinthisfield. Mission ISSN: 2327-3453 EISSN: 2327-3461 Vijayan Sugumaran Oakland University, USA Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series
  • 10. Titles in this Series For a list of additional titles in this series, please visit: www.igi-global.com Research and Applications in Global Supercomputing Richard S. Segall (Arkansas State University, USA) Jeffrey S. Cook (Independent Researcher, USA) and Qingyu Zhang (Shenzhen University, China) Information Science Reference • copyright 2015 • 672pp • H/C (ISBN: 9781466674615) • US $265.00 (our price) Challenges, Opportunities, and Dimensions of Cyber-Physical Systems P. Venkata Krishna (VIT University, India) V. Saritha (VIT University, India) and H. P. Sultana (VIT University, India) Information Science Reference • copyright 2015 • 328pp • H/C (ISBN: 9781466673120) • US $200.00 (our price) Human Factors in Software Development and Design Saqib Saeed (University of Dammam, Saudi Arabia) Imran Sarwar Bajwa (The Islamia University of Bahawalpur, Pakistan) and Zaigham Mahmood (University of Derby, UK North West University, South Africa) Information Science Reference • copyright 2015 • 354pp • H/C (ISBN: 9781466664852) • US $195.00 (our price) Handbook of Research on Innovations in Systems and Software Engineering Vicente García Díaz (University of Oviedo, Spain) Juan Manuel Cueva Lovelle (University of Oviedo, Spain) and B. Cristina Pelayo García-Bustelo (University of Oviedo, Spain) Information Science Reference • copyright 2015 • 745pp • H/C (ISBN: 9781466663596) • US $515.00 (our price) Handbook of Research on Architectural Trends in Service-Driven Computing Raja Ramanathan (Independent Researcher, USA) and Kirtana Raja (IBM, USA) Information Science Reference • copyright 2014 • 759pp • H/C (ISBN: 9781466661783) • US $515.00 (our price) Handbook of Research on Embedded Systems Design Alessandra Bagnato (Softeam RD, France) Leandro Soares Indrusiak (University of York, UK) Imran Rafiq Quadri (Softeam RD, France) and Matteo Rossi (Politecnico di Milano, Italy) Information Science Reference • copyright 2014 • 520pp • H/C (ISBN: 9781466661943) • US $345.00 (our price) Contemporary Advancements in Information Technology Development in Dynamic Environments Mehdi Khosrow-Pour (Information Resources Management Association, USA) Information Science Reference • copyright 2014 • 410pp • H/C (ISBN: 9781466662520) • US $205.00 (our price) Systems and Software Development, Modeling, and Analysis New Perspectives and Methodologies Mehdi Khosrow-Pour (Information Resources Management Association, USA) Information Science Reference • copyright 2014 • 365pp • H/C (ISBN: 9781466660984) • US $215.00 (our price) 701 E. Chocolate Ave., Hershey, PA 17033 Order online at www.igi-global.com or call 717-533-8845 x100 To place a standing order for titles released in this series, contact: cust@igi-global.com Mon-Fri 8:00 am - 5:00 pm (est) or fax 24 hours a day 717-533-8661
  • 11.    Editorial Advisory Board Tasos Dagiuklas, Hellenic Open University, Greece Ciprian Dobre, University Politehnica of Bucharest, Romania Nuno Garcia, University of Beira Interior, Portugal Daniel Négru, University of Bordeaux, France Katerina Papanikolaou, European University Cyprus, Cyprus Christos Politis, Kingston University London, UK Charalampos Skianis, University of the Aegean, Greece Vasos Vassiliou, University of Cyprus, Cyprus Lei Wang, Dalian University of Technology, China List of Reviewers Demosthenes Akoumianakis, Technological Education Institution of Crete, Greece Jordi Mongay Batalla, National Institute of Telecommunications, Poland Athina Bourdena, University of Nicosia, Cyprus Periklis Chatzimisios, Technological Educational Institute of Thessaloniki, Greece Carl J. Debono, University of Malta, Malta Paraskevi Fragopoulou, FORTH, Greece Dimitrios Kosmopoulos, Technological Educational Institute of Crete, Greece Harilaos Koumaras, NCSR Demokritos, Greece Anastasios Kourtis, NCSR Demokritos, Greece Michail Alexandros Kourtis, University of the Aegean, Greece Prodromos Makris, University of the Aegean, Greece Athanasios G. Malamos, Technological Educational Institute of Crete, Greece Evangelos K. Markakis, University of the Aegean, Greece Ioannis Pachoulakis, Technological Educational Institute of Crete, Greece Costas Panagiotakis, Technological Educational Institute of Crete, Greece Spyros Panagiotakis, Technological Educational Institute of Crete, Greece Ilias Politis, University of Patras, Greece Joel J. P. C. Rodrigues, University of Beira Interior, Portugal Lambros Sarakis, Technological Educational Institute of Chalkida, Greece
  • 12.  Lei Shu, Guangdong University of Petrochemical Technology, China Anargyros Sideris, University of the Aegean, Greece Mamadou Sidibe, Viotech Communications, France Dimitrios N. Skoutas, University of the Aegean, Greece Dimitrios Stratakis, Technological Educational Institute of Crete, Greece Georgios Triantafyllidis, Technological Educational Institute of Crete, Greece Manolis Tsiknakis, Technological Educational Institute of Crete, Greece Kostas Vassilakis, Technological Educational Institute of Crete, Greece Nikolas Vidakis, Technological Educational Institute of Crete, Greece Demosthenes Vouyioukas, University of the Aegean, Greece George Xilouris, NCSR Demokritos, Greece Nikos Zotos, University of Aegean, Greece
  • 13.   Table of Contents  Preface. ...............................................................................................................................................xviii Acknowledgment...............................................................................................................................xxvi Section 1 Introduction and Applications of Mobile Cloud Computing Chapter 1 Mobile Cloud Computing: An Introduction............................................................................................ 1 Jyoti Grover, Global Institute of Technology, India Gaurav Kheterpal, Metacube Software Private Limited, India Chapter 2 The Technical Debt in Cloud Software Engineering: A Prediction-Based and Quantification Approach................................................................................................................................................ 24 Georgios Skourletopoulos, Scientia Consulting S.A., Greece Rami Bahsoon, University of Birmingham, UK Constandinos X. Mavromoustakis, University of Nicosia, Cyprus George Mastorakis, Technological Educational Institute of Crete, Greece Chapter 3 Anomaly Detection in Cloud Environments.......................................................................................... 43 Angelos K. Marnerides, Liverpool John Moores University, UK Section 2 Mobile Cloud Resource Management Chapter 4 Mobile Cloud Resource Management. ................................................................................................... 69 Konstantinos Katzis, European University Cyprus, Cyprus
  • 14.  Chapter 5 A Social-Oriented Mobile Cloud Scheme for Optimal Energy Conservation....................................... 97 Constandinos X. Mavromoustakis, University of Nicosia, Cyprus George Mastorakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece Athina Bourdena, University of Nicosia, Cyprus Evangelos Pallis, Technological Educational Institute of Crete – Heraklion, Greece Dimitrios Stratakis, Technological Educational Institute of Crete – Heraklion, Greece Emmanouil Perakakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece Ioannis Kopanakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece Stelios Papadakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece Zaharias D. Zaharis, Aristotle University of Thessaloniki, Greece Christos Skeberis, Aristotle University of Thessaloniki, Greece Thomas D. Xenos, Aristotle University of Thessaloniki, Greece Chapter 6 Traffic Analyses and Measurements: Technological Dependability.................................................... 122 Rossitza Goleva, Technical University of Sofia, Bulgaria Dimitar Atamian, Technical University of Sofia, Bulgaria Seferin Mirtchev, Technical University of Sofia, Bulgaria Desislava Dimitrova, ETH Zurich, Switzerland Lubina Grigorova, Vivacom JSCO, Bulgaria Rosen Rangelov, Lufthansa Technik-Sofia, Bulgaria Aneliya Ivanova, Technical University of Sofia, Bulgaria Section 3 Content-Aware Streaming in Mobile Cloud Chapter 7 Adaptation of Cloud Resources and Media Streaming in Mobile Cloud Networks for Media Delivery. ............................................................................................................................................... 175 Jordi Mongay Batalla, National Institute of Telecommunications, Poland Warsaw University of Technology, Poland Chapter 8 Context-Awareness in Opportunistic Mobile Cloud Computing......................................................... 203 Radu-Corneliu Marin, University Politehnica of Bucharest, Romania Radu-Ioan Ciobanu, University Politehnica of Bucharest, Romania Radu Pasea, University Politehnica of Bucharest, Romania Vlad Barosan, University Politehnica of Bucharest, Romania Mihail Costea, University Politehnica of Bucharest, Romania Ciprian Dobre, University Politehnica of Bucharest, Romania
  • 15.  Chapter 9 H.265 Video Streaming in Mobile Cloud Networks............................................................................ 238 Qi Wang, University of the West of Scotland, UK James Nightingale, University of the West of Scotland, UK Jose M. Alcaraz-Calero, University of the West of Scotland, UK Chunbo Luo, University of the West of Scotland, UK Zeeshan Pervez, University of the West of Scotland, UK Xinheng Wang, University of the West of Scotland, UK Christos Grecos, University of the West of Scotland, UK Section 4 Network and Service Virtualization Chapter 10 Virtualization Evolution: From IT Infrastructure Abstraction of Cloud Computing to Virtualization of Network Functions................................................................................................... 279 Harilaos Koumaras, NCSR Demokritos, Greece Christos Damaskos, NCSR Demokritos, Greece George Diakoumakos, NCSR Demokritos, Greece Michail-Alexandros Kourtis, NCSR Demokritos, Greece George Xilouris, NCSR Demokritos, Greece Georgios Gardikis, NCSR Demokritos, Greece Vaios Koumaras, NCSR Demokritos, Greece Thomas Siakoulis, NCSR Demokritos, Greece Chapter 11 Towards Ubiquitous and Adaptive Web-Based Multimedia Communications via the Cloud............. 307 Spyros Panagiotakis, Technological Educational Institute of Crete, Greece Ioannis Vakintis, Technological Educational Institute of Crete, Greece Haroula Andrioti, Technological Educational Institute of Crete, Greece Andreas Stamoulias, Technological Educational Institute of Crete, Greece Kostas Kapetanakis, Technological Educational Institute of Crete, Greece Athanasios Malamos, Technological Educational Institute of Crete, Greece Chapter 12 A Resource Prediction Engine for Efficient Multimedia Services Provision...................................... 361 Yiannos Kryftis, University of Nicosia, Cyprus George Mastorakis, Technological Educational Institute of Crete, Greece Constandinos X. Mavromoustakis, University of Nicosia, Cyprus Jordi Mongay Batalla, National Institute of Telecommunications, Poland Warsaw University of Technology, Poland Athina Bourdena, University of Nicosia, Cyprus Evangelos Pallis, Technological Educational Institute of Crete, Greece
  • 16.  Compilation of References................................................................................................................ 381 About the Contributors..................................................................................................................... 419 Index.................................................................................................................................................... 431
  • 17.   Detailed Table of Contents  Preface. ...............................................................................................................................................xviii Acknowledgment...............................................................................................................................xxvi Section 1 Introduction and Applications of Mobile Cloud Computing This section comprises an introduction to cloud computing as a recently emerged technology in the wireless communication era. It elaborates on issues related to the mobile cloud computing concept, which has become an important research area due to the rapid growth of the applications in the mobile computing environments. It also presents research approaches associated with the prediction and the quantification of the technical debt in cloud software engineering. Finally, it provides insight and reports the results derived by particular methodologies that jointly consider cloud-specific properties and rely on the Empirical Mode Decomposition (EMD) approaches. Chapter 1 Mobile Cloud Computing: An Introduction............................................................................................ 1 Jyoti Grover, Global Institute of Technology, India Gaurav Kheterpal, Metacube Software Private Limited, India Mobile Cloud Computing (MCC) has become an important research area due to rapid growth of mobile applications and emergence of cloud computing. MCC refers to integration of cloud computing into a mobile environment. Cloud providers (e.g. Google, Amazon, and Salesforce) support mobile users by providingtherequiredinfrastructure(e.g.servers,networks,andstorage),platforms,andsoftware.Mobile devices are rapidly becoming a fundamental part of human lives and these enable users to access various mobile applications through remote servers using wireless networks. Traditional mobile device-based computing, data storage, and large-scale information processing is transferred to “cloud,” and therefore, requirement of mobile devices with high computing capability and resources are reduced. This chapter provides a survey of MCC including its definition, architecture, and applications. The authors discuss the issues in MCC, existing solutions, and approaches. They also touch upon the computation offloading mechanism for MCC.
  • 18.  Chapter 2 The Technical Debt in Cloud Software Engineering: A Prediction-Based and Quantification Approach................................................................................................................................................ 24 Georgios Skourletopoulos, Scientia Consulting S.A., Greece Rami Bahsoon, University of Birmingham, UK Constandinos X. Mavromoustakis, University of Nicosia, Cyprus George Mastorakis, Technological Educational Institute of Crete, Greece Predicting and quantifying promptly the Technical Debt has turned into an issue of significant importance over recent years. In the cloud marketplace, where cloud services can be leased, the difficulty to identify the Technical Debt effectively can have a significant impact. In this chapter, the probability of introducing the Technical Debt due to budget and cloud service selection decisions is investigated. A cost estimation approach for implementing Software as a Service (SaaS) in the cloud is examined, indicating three scenarios for predicting the incurrence of Technical Debt in the future. The Constructive Cost Model (COCOMO) is used in order to estimate the cost of the implementation and define a range of secureness by adopting a tolerance value for prediction. Furthermore, a Technical Debt quantification approach is researched for leasing a cloud Software as a Service (SaaS) in order to provide insights about the most appropriate cloud service to be selected. Chapter 3 Anomaly Detection in Cloud Environments.......................................................................................... 43 Angelos K. Marnerides, Liverpool John Moores University, UK Cloud environments compose unique operational characteristics and intrinsic capabilities such as service transparency and elasticity. By virtue of their exclusive properties as being outcomes of their virtualized nature, these environments are prone to a number of security threats either from malicious or legitimate intent. By virtue of the minimal proactive properties attained by off-the-shelf signature-based commercial detection solutions employed in various infrastructures, cloud-specific Intrusion Detection System (IDS) Anomaly Detection (AD)-based methodologies have been proposed in order to enable accurate identification, detection, and clustering of anomalous events that could manifest. Therefore, in this chapter the authors firstly aim to provide an overview in the state of the art related with cloud-based AD mechanisms and pinpoint their basic functionalities. They subsequently provide an insight and report some results derived by a particular methodology that jointly considers cloud-specific properties and relies on the Empirical Mode Decomposition (EMD) algorithm. Section 2 Mobile Cloud Resource Management This section examines the various types of resource management techniques that are available for the mobile clouds, such as resource offloading, mobile cloud infrastructure and mobile device power control, controltheory,datamining,machinelearning,radiospectrummanagement,andmobilecloudcomputing economic-oriented mechanisms. It also elaborates on issues related to the social-oriented context of the mobile cloud computing environments to support optimal energy conservation of the mobile devices. Finally, it elaborates on traffic analysis and measurement issues in emerging mobile computing systems.
  • 19.  Chapter 4 Mobile Cloud Resource Management. ................................................................................................... 69 Konstantinos Katzis, European University Cyprus, Cyprus Providing mobile cloud services requires seamless integration between various platforms to offer mobile users optimum performance. To achieve this, many fundamental problems such as bandwidth availability and reliability, resource scarceness, and finite energy must be addressed before rolling out such services. This chapter aims to explore technological challenges for mobile cloud computing in the area of resource management focusing on both parts of the infrastructure: mobile devices and cloud networks. Starting with introducing mobile cloud computing, it then stresses the importance of resource management in the operation of mobile cloud services presenting various types of resources available for cloud computing. Furthermore, it examines the various types of resource management techniques available for mobile clouds. Finally, future directions in the field of resource management for mobile cloud computing environment are presented. Chapter 5 A Social-Oriented Mobile Cloud Scheme for Optimal Energy Conservation....................................... 97 Constandinos X. Mavromoustakis, University of Nicosia, Cyprus George Mastorakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece Athina Bourdena, University of Nicosia, Cyprus Evangelos Pallis, Technological Educational Institute of Crete – Heraklion, Greece Dimitrios Stratakis, Technological Educational Institute of Crete – Heraklion, Greece Emmanouil Perakakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece Ioannis Kopanakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece Stelios Papadakis, Technological Educational Institute of Crete – Agios Nikolaos, Greece Zaharias D. Zaharis, Aristotle University of Thessaloniki, Greece Christos Skeberis, Aristotle University of Thessaloniki, Greece Thomas D. Xenos, Aristotle University of Thessaloniki, Greece This chapter elaborates on energy usage optimization issues by exploiting a resource offloading process based on a social-oriented mobile cloud scheme. The adoption of the proposed scheme enables for increasing the reliability in services provision to the mobile users by guaranteeing sufficient resources for the mobile application execution. More specifically, this chapter describes the process to improve the energy consumption of the mobile devices through the exploitation of a social-oriented model and a cooperative partial process offloading scheme. This research approach exploits social centrality, as the connectivity model for the resource offloading, among the interconnected mobile devices to increase the energy usage efficiency, the mobile nodes availability, as well as the process of execution reliability. The proposed scheme is thoroughly evaluated to define the validity and the efficiency for the energy conservation increase of future mobile computing devices.
  • 20.  Chapter 6 Traffic Analyses and Measurements: Technological Dependability.................................................... 122 Rossitza Goleva, Technical University of Sofia, Bulgaria Dimitar Atamian, Technical University of Sofia, Bulgaria Seferin Mirtchev, Technical University of Sofia, Bulgaria Desislava Dimitrova, ETH Zurich, Switzerland Lubina Grigorova, Vivacom JSCO, Bulgaria Rosen Rangelov, Lufthansa Technik-Sofia, Bulgaria Aneliya Ivanova, Technical University of Sofia, Bulgaria Resource management schemes in current data centers, including cloud environments, are not well equipped to handle the dynamic variation in traffic caused by the large diversity of traffic sources, source mobility patterns, and underlying network characteristics. Part of the problem is lacking knowledge on the traffic source behaviour and its proper representation for development and operation. Inaccurate, static traffic models lead to incorrect estimation of traffic characteristics, making resource allocation, migration, and release schemes inefficient, and limit scalability. The end result is unsatisfied customers (due to service degradation) and operators (due to costly inefficient infrastructure use). The authors argue that developing appropriate methods and tools for traffic predictability requires carefully conducted and analysed traffic experiments. This chapter presents their measurements and statistical analyses on various traffic sources for two network settings, namely local Area Network (LAN) and 3G mobile network. LAN traffic is organised in DiffServ categories supported by MPLS to ensure Quality of Service (QoS) provisioning. 3G measurements are taken from a live network upon entering the IP domain. Passive monitoring was used to collect the measurements in order to be non-obtrusive for the networks. The analyses indicate that the gamma distribution has general applicability to represent various traffic sources by proper setting of the parameters. The findings allow the construction of traffic models and simulation tools to be used in the development and evaluation of flexible resource management schemes that meet the real-time needs of the users. Section 3 Content-Aware Streaming in Mobile Cloud This section provides some novel applications that have been made possible by the rapid emergence of cloud computing resources and elaborates on content-aware streaming issues in mobile cloud computing environments. More specifically, it presents novel adaptation methods of cloud resources and media streaming techniques in mobile cloud networks for efficient media delivery. It then elaborates on context- awareness issues in opportunistic mobile cloud computing environments and context-aware adaptive streaming based on the latest video coding standard H.265 in the context of Internet-centric mobile cloud networking. Chapter 7 Adaptation of Cloud Resources and Media Streaming in Mobile Cloud Networks for Media Delivery. ............................................................................................................................................... 175 Jordi Mongay Batalla, National Institute of Telecommunications, Poland Warsaw University of Technology, Poland Multimedia content delivery is one of the use cases of Mobile Cloud Networks. Cloud Networks are then calledMediaClouds.Sincemobile devicesarebecomingincreasinglyimportant receptorsofMultimedia content, Mobile Cloud Computing is undertaking an important role for delivering Multimedia content
  • 21. Exploring the Variety of Random Documents with Different Content
  • 22. Cribb, Tom, and Jem Belcher, 30-33, 41-43, 74, 92; supports John Gulley, 35; Gregson’s lines in honour of, 40; and Molineux, 44, 46-54, 68, 75; a remark of, 61; seconds Spring, 68, 73, 75-77. Crookham Common, Yankee Sullivan v. Hammer Lane contest, 87. Crosby, near Liverpool, 94. Crouch, Abe, and Tom Sayers, 99. Cumberland, Duke of, patron of Broughton, 5-6. Curphey, Jack, and Bombardier Wells, 173. Curtis, Dick, seconds Deaf Burke, 81, 83. Customs of the Ring, 95. Daily Oracle and Advertiser, 21. Davis, Tom, and Hammer Lane, 92. Deaths, accidental, 80-84. Deerhurst, Lord, 73. Dempsey, Jack, and Fitzsimmons, 133, 183; —— (The new), and Jess Willard, 162, 183; and Georges Carpentier, 183-88, 192. Descamps, M., manager to Georges Carpentier, 168; gymnasium of, 176-78; intervention in the Carpentier v. Jeff Smith contest, 181; power of, 192. Dieppe, Carpentier v. Klaus, contest at, 178. Dixson, W. Wilmott, see “Thormanby.” Don river, 17. Doncaster, 17. Doyle, Sir A. Conan, Rodney Stone, 25. Driscoll, Jem, style, 154, 157, 199; winner of the Lonsdale belt, 194; and Spike Robson, 194-97; and Jean Poésy, 197-98.
  • 23. —— Jerry, and Charlemagne, 176. Dunstable volunteers called out, 36. Eales, 59. Edinburgh Star, The, 54. Egan, Pierce, quoted, on Perrins and Johnson, 8-9; on the Humphries-Mendoza contest, 14; on the rules of 1795, 20; on the “Lancashire” method, 38; on Gregson, 39; on Cribb v. Molineux, 46-50. “English attitude,” the, 69. English Heavy-Weight Championship held by Bombardier Wells, 164. Epsom racecourse, the, 41. Farnborough, Heenan v. Sayers contest, 108. Fearby and Belcher, 25, 27. Fewterel of Birmingham, 19. Figg, 3. Fight, The, Hazlitt, 64. “Fight,” use of the term condemned, 126, note. Film, the, and Boxing, 149. Finchley Common, 24. Fisher, 59. Fistiania, or the Oracle of the Ring, cited, 3. Fitzsimmons, Mrs., 136. —— Robert, and James J. Corbett, 133-38; and James J. Jefferies, 139-46, 160; character, 171. Fives Court, St. Martin’s Street, 59. “Fly-Weight Champion of the World,” Jimmy Wilde’s title, 199-200. Foley, Larry, 121.
  • 24. Fouls, 91, 113; Bendigo and Caunt, 85-86. French Flying Corps, 183. French, the, as boxers, 109. From Pit Boy to Champion Boxer, Lucas, 177. Gamble, Andrew, and Jem Belcher, 24. Gaynor, Tom, 81. Ghent Exhibition, Carpentier v. Wells match, 165-66. Gibbons, Bill, second to Gulley, 37; to Molineux, 53. Goddard, Frank, and Joe Beckett, 172-73. Goodricke, Sir H., 73. Grain, Isle of, 103. Grant, Jack, and Tom Sayers, 99. Gregson, Bob, and John Gulley, 35-39; personality, 39-40. Gulley, John, and Hen Pearce, 26, 34-35; and Bob Gregson, 35-39; seconds Cribb, 46, 53. Hague, Iron, 164. Hailsham, 34. Hall, Jem, and Fitzsimmons, 133. Hamilton, Colonel, 17. Hampton Court, 30. Hannan, seconds Bendigo, 97. Harmer, Harry, 59; seconds Neate, 64, 68. Hart, Marvin, and Tommy Burns, 148. Hatfield, Caunt trained at, 94. Hayes, Bill, 103. Hazlitt, William, The Fight, 64; description of Neate v. Hickman, 65.
  • 25. “Heavy-Weight,” Times article on the Heenan-Sayers match, 116-17. Heenan, John, Tom Sayers and, 107-17. Hertford Assizes, trial on death of Simon Byrne, 84. —— Police, warrant to apprehend Tom Sayers, 107. Hickman, Tom, 59; Bill Neate and, 64-67. Hinkley Downs, 68. Holborn Stadium, Joe Beckett v. Wells match, 172; Jimmy Wilde v. Alf Mansfield, 199-200. Hole in the Wall, Chancery Lane, 63. Holt, 59. Home Office, intervention in the proposed Wells v. Johnson match, 164. Hornchurch, 19. Hounslow Races, 4. Hudson, Josh, 59; seconds Langham, 73. Humphries, Richard, 57; and Daniel Mendoza, 1787, 12-14; 1789, 15-16; 1790, 17-19. Hungerford, 64. Hurley Bottom, near Maidenhead, 25. India, Championship held by Wells, 164. Ingleston, George, 19. Jackson, John, second to Humphries, 17; and Mendoza, 19-20; a letter to Mendoza, 21; rooms at Old Bond Street, 21-22, 52; keeps time in Belcher v. Cribb, 30; superintending the ring, 46, 53, 70, 76.
  • 26. —— Peter, reputation, 45, 149, 151, 158; and Frank Slavin, 121-26; and James Corbett, 121-22. Jefferies, James J., methods, 134; and Robert Fitzsimmons, 139-46; and Jack Johnson, 158-62. Jews among the boxers of England, 12. Johnson, Jack, reputation, 44, 85; and Tommy Burns, 147-53; and James J. Jefferies, 158-62. —— Tom, and Isaac Perrins, 7-11; second to Humphries, 13, 16, 17; to Mendoza, 17; his figure, 26; and Tom Sayers, 108; character, 171. “Jolly Butchers,” Wardour St., 26. Jones, Paddington, and Jem Belcher, 24; seconds Molineux, 46. —— Tom, and Isaac Bittoon, 24-25. Journee, Paul, and Wells, 173. Keene, Alec, seconds Tom Sayers, 99, 101. Kilrain, Jake, and Sullivan, 128-30. Klaus, Frank, and Carpentier, 178. Lane, Hammer, and Yankee Sullivan, 87-92; and Tom Davis, 92. Langan, Jack and Tom Spring, 72-78; generosity of, 78-79. Langham, Nat, and Tom Sayers, 99-103. Ledoux, Charles, 194. Lee, Harry, and Mendoza, 20. —— Tancy, 194.
  • 27. Lens, colliers of, and Carpentier, 165-66, 176. Levinsky, Battling, and Carpentier, 183. Longford, Lord, backer of Bendigo, 98. Lonsdale Belt, Pat O’Keefe the winner, 167; won by Jem Driscoll, 194. Lonsdale, Lord, on the use of the word “Fight,” 126, note. Lucas, F. H., From Pit Boy to Champion Boxer, 177. “Lying on,” art of, 155. Macdonald, Jack, seconds Perry 103. Mace, Jem, 121; competition organised by, 133. McGoorty, Eddie, and Beckett, 173; and Bombardier Wells, 173. McKay, death of, 80. Maher, Peter, 133. Mahoney, Packey, 166. Mansfield, Alf, and Jimmy Wilde, 199-200. Martin, Jack, and Jack Randall, 62-63. Mendoza, Daniel, 57; and Richard Humphries, 12-19; and John Jackson, 19-20; and Harry Lee, 20; and Tom Owen, 21. Miles, Henry Downs, Pugilistica, by, 49. Mitchell, Charley, seconds Kilrain, 130. Moir, Gunner, and Tommy Burns, 148-49; and Bombardier Wells, 167. Molineux and Tom Cribb, 40, 44, 46-54, 68, 75; history of, 45-46. Molyneux, and Hammer Lane, 88. Monte Video, boxing in, 202. Moulsey Hurst, 30. “Mouth fighting,” 145-46, 151-54.
  • 28. “Mufflers,” 34. National Sporting Club contests: Frank Slavin v. Peter Jackson, 121-26; a private meeting with Fitzsimmons, 134; Wells v. Iron Hague, 164; Wells v. Packey Mahoney, 166; Carpentier v. Wells, 167; Jem Driscoll contests, 194, 197-98. Neate, Bill, and Tom Hickman, 64-67; and Tom Spring, 68-71; manner of, 95. New Jersey, U.S.A., Jack Dempsey v. Carpentier, 184. New Orleans, Sullivan v. Corbett, 128-29. Newbury in Berkshire, Neate v. Hickman, 64. Nichols, George, and Tom Cribb, 30. Nigger, the, in Boxing, 44-45. No Man’s Land, Hertfordshire, Deaf Burke v. Simon Byrne, 80. No-Decision contests, 146. Northumberland, Duke of, and Bill Richmond, 46. Nosworthy, 59. “Nottingham Lambs” support Bendigo, 96-97. Nottingham Steeplechases, 1840, 93. Odiham in Hampshire, 12. O’Keefe, Pat, and Bombardier Wells, 167; and Joe Beckett, 172. Old Bond Street, Jackson’s rooms, 21-22. “Old K Legs,” nickname of the Tipton Slasher, 103. Old Swan Stairs, 7. Oliver, Tom, seconds Jack Randall, 59-60; and Tom Hickman, 64. Olympia, Joe Beckett v. Bombardier Wells, 173-75.
  • 29. O’Neill, Colonel, Langan’s backer, 76-77. Osbaldiston, Squire, referee in Bendigo v. Caunt, 95, 97. Owen, Tom, 59; and Mendoza, 21; seconds Ned Turner, 60. Painter, Ned, seconds Spring, 68, 73, 76; referee in Sullivan v. Lane, 91. Palmer, Pedlar, 194. Papke, and Carpentier, 178. Parish, 59. Parker, Tass, Bendigo’s challenge, 93; and the Tipton Slasher, 102; seconds William Perry, 103. Pearce, Henry, and Jem Belcher, 26-29; and John Gulley, 34, 36. Perrins, Isaac, 103; and Tom Johnson, 7-11. Perry, William, see Slasher, the Tipton. Pinckney, Mr., 45. Plimmer, Billy, 194. Plough Inn, Carey Street, 34. Poésy, Jean, and Jem Driscoll, 192-98; and Digger Stanley, 198. Pontefract, 34. Prize money, amount in 1789, 7-8. Prize-Ring, the, and modern Boxing, 201-4. Punch, lines by Thackeray on the Sayers-Heenan contest, 114-16; on the boxer’s appearance, 171. Pugilistic Benevolent Association, revised Rules of the Ring, 204-8. Pugilistica, Miles, quoted, 49.
  • 30. Randall, Jack, 59; and Ned Turner, 60-62; and Jack Martin, 62-63. Reeves, Harry, and Bombardier Wells, 173. Referee, action regarding “breaking,” 139-40; duty of the, 156. Reno in Nevada, Jefferies v. Johnson, 158-62. Reynolds, Tom, seconds Langan, 73-75; complaint of, 75. Richmond, Bill, and Tom Cribb, 30; supports Bob Gregson, 35; seconds Molineux, 44-46, 49-50, 52-53; seconds Ned Turner, 59-60. Ring, broken in the Langan v. Spring contest, 73. Robertson, Colonel Archibald, 107-8. Robson, Spike, and Jem Driscoll, 194-97. Rodney Stone, Conan Doyle, 25. Ruhlin, Gus, 139. Rules of the American Union, 146. Rules of the Ring, 96, 204-8; English, regarding hitting in holds, 139-40. Rushcutter’s Bay, Sydney, Tommy Burns v. Jack Johnson, 150. St. Martin’s Street, the racquets court, 25. Sampson, 59. San Francisco, Jefferies v. Fitzsimmons, 143. Savate, La, decay of, 176. Sawbridgeworth, 56. Say and Sele, Lord, backs Jem Belcher, 30. Sayers, Tom, 53; and Nat Langham, 99-101; and the Tipton Slasher, 102; warrant for his arrest, 107-8; and the Benicia Boy, 107-17;
  • 31. character, 171. Scholfield, J., 51. Scroggins, Jack, and Ned Turner, 55-59. Seabright, Sir John, 37. Sellinger Cup Week, 1790, 17. Shelton, Tom, 59; seconds Hickman, 64. Shepperton, Turner v. Sayers, 58. Six Mile Bottom, near Newmarket, 35. Slack, Jack, and Broughton, 3-6; Jem Belcher his grandson, 23. Slasher, the Tipton (William Perry), and Tom Sayers, 102. Slavin, Frank, and Peter Jackson, 121-26. Smith, Dick, and Joe Beckett, 172-73; and Carpentier, 183. —— Jeff, and Georges Carpentier, 176, 178-82. Spring, Tom, 59; Broughton compared with, 4; seconds Hickman, 64, 66; and Bill Neate, 68-71; and Jack Langan, 72-78; death of, 79; seconds Simon Byrne, 81-84; attitude, 86; interest in Caunt, 94, 96; character, 171. Stanley, Digger, and Jean Poésy, 198. Stewart, Mr., 25. Stilton in Huntingdon, 15. Stock Exchange, gift to Molineux, 50. Sullivan, John L., 135; James J. Corbett and, 127-32. —— Yankee, and Hammer Lane, 88-92. Summers, Johnny, 194. Sutfield Green, Oxford, Bendigo v. Caunt, 94.
  • 32. Swift, Owen, and Hammer Lane, 87; action of, 106. Thackeray, W. M., articles in the Cornhill Magazine and Punch on the Sayers-Heenan match, 114-16. Thirty Years a Boxing Referee, Eugene Corri, 122. Thistleton Gap, 51. Thompson, John, 85, 93. —— William, see Bendigo. —— Mrs., 94. “Thormanby,” pen-name of W. Wilmott Dixson, 52; on Molineux, 45; Boxers and their Battles, quoted, 49, 52; generosity of, 78-79; on Bendigo’s arrest, 85, 93, 98. Thornton, Mr., 15. Thurtell, 64. Times, The, letter from Molineux to Cribb, 51; notice regarding Tom Sayers’s fight, 107; on the Heenan-Sayers contest, 111; article by “Heavy-Weight,” 116-17; report of Deaf Burke’s trial, 201. Townley, Arthur, and Bombardier Wells, 173. Turner, Ned, and Jack Scroggins, 55-59; and Jack Randall, 60-62. Turners, the three, 59. Union Arms, Panton Street, 54. Ward, Jem, the Championship held by, 68, 80; seconds Simon Byrne, 81, 82, 84; seconds Bendigo, 87, 97; gives the Champion’s belt to Bendigo, 93. —— Joe, seconds Gulley, 37;
  • 33. seconds Cribb, 46, 49-50, 53. —— Nick, and Ben Caunt, 93. Warr, Bill, 24. Weare, Mr., backs Bill Neate, 64. Wells, Bombardier, and Georges Carpentier, 163-69; character, 163-64; appearance, 170; and Joe Beckett, 170-76; and Arthur Townley, 173; and Eddie McGoorty, 173; and Harry Reeves, 173; and Jack Curphey, 173; and Paul Journee, 173. Whitaker, 59. White, seconds Jack Randall, 60. “White hope,” a search for, 158-59, 164. Wilde, Jimmy, Fly-Weight Champion of the World, 198- 200; and Alf Mansfield, 199-200. Willard, Jess, and Jack Johnson, 162; and Jack Dempsey, 183. Winnings, amount in 1750, 6. Winter, see Spring, Tom. Women at the Albert Hall, 190. Worcester Racecourse, Spring v. Langan, 72-73. “World’s Championship,” the phrase, 121; holders in 1915 and after, 162; Sullivan’s title, 128; World’s Middle-Weight Championship held by Robert Fitzsimmons, 133; the Heavy-Weight Championship won by Tommy Burns, 148.
  • 34. GLASGOW: W. COLLINS SONS AND CO. LTD. FOOTNOTES: 1 “In Praise of the Fist,” from Life and Flowers, translated by the late Alexander Teixeira de Mattos. 2 Pugilistica, by Henry Downs Miles; Boxers and Their Battles, by “Thormanby.” 3 See Rule 28, Appendix. 4 Just before this encounter, Lord Lonsdale, President of the Club, had especially urged his hearers not to use the word “Fight” in connection with these proceedings—in view of the fact, no doubt, that a “Prize-Fight” was illegal. Mr. Angle may have forgotten this, or he may have been misreported. The club’s sensitiveness to the use of words is very delicate, and by one of its officials I was once reprimanded at a supper following the Oxford and Cambridge matches for proposing the toast of “The Ring.” 5 This rule is only binding on members of the P.B.A. or persons signing articles to fight under their rules, and was made to meet cases where men finding themselves equally matched should attempt, by standing and looking at one another, as has been sometimes the case, for half an hour at a time, to protract the battle till dark, and thus have an opportunity of making a draw.
  • 35. Transcriber’s Note: Obvious printer errors corrected silently. Inconsistent spelling and hyphenation are as in the original. One unpaired double quotation mark could not be corrected with confidence.
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