Introduction to aneka cloud

490 Ms. Disha Grover, Dr. BarjeshKochar, Dr. Y.S.Shishodia
International Journal of Engineering Technology Science and Research
IJETSR
www.ijetsr.com
ISSN 2394 – 3386
Volume 4, Issue 6
June 2017
Introduction to ANEKA Cloud Application Platform by
MANJRASOFT – An Overview
Ms. Disha Grover
Asst. Prof (IT), Jagan Institute of Management Studies, Delhi, India
Dr. BarjeshKochar
Prof.,CSE Department, BPIT, Delhi, India
Dr. Y.S.Shishodia
Pro Vice Chancellor, Jagannath University, Jaipur, India
Abstract
With advancement in technology trends, facilities are
increasing day by day and services are available at our
doorstep.Cloud computing is one of emerging areas that
is prevailing in industries at grandiose rate. The paper
deals with aspects of cloud computing and models to
deploy them. It is common information which is known
by most of researchers. The main problem is
management of resources that leads to multiple clouds.
So, there must be some platform or framework for
building clouds and managing them in an effective way.
The paper makes readers aware of finest software that is
used for building clouds among distributed networks and
creates multiple clouds. It is given name as ANEKA by
one of company MANJRASOFT Pvt. Ltd. Several
programming models and process of deployment of
resources in ANEKA have been shown in following
paper. It is known that multiple clouds are used to reduce
risk of fault tolerance but these clouds are built by
ANEKA. Without ANEKA, it is very difficult to build
multiple clouds and manage them in heterogeneous
environment. ANEKA is proven to be one of scalable and
reliable technologies in cloud terminology.
Keywords
Cloud computing, Network models, ANEKA, and
Programming models.
Related Work
There is continuous research going in field of cloud
computing because every organization, company
wants to implement cloud in their systems. It is
mainly due to many reasons like for increasing
utilization, increasing company share and profit,
reduce cost, achieve scalability and reduce
workload management. The main strategy behind
introducing of multiple clouds is enhancing process
of virtualization. It is known that for using multiple
virtual machines to access data also requires
management of data and its collection. Few
techniques that were used by various scientists and
programmers are as follows:
 Automatic workload balancing [1]: - It is
technique of predicting expected workload on
respective servers in form of number of requests
that estimates performance of model on basis of
various problems.
 Reusability mechanism[2]:- Reusability
decreases amount of data by using live virtual
machines (VM) and it is dynamic process with
shorter time.
 Linear Scheduling Tasks and Resources
(LSTR) [3]: - It deals with scheduling criteria of
operating system. It involves quality of service on
basis of their priority like cost, demand etc.
Above techniques have been proven useful to a
certain limit but in case of large and distributive
servers where data access limit is large, none of
them has done right job. They lack in management
of resources and scheduling services of various data
centers at one time. These data centers can be called
as clusters or containers.
1. INTRODUCTION
Before going to ANEKA overview, the paper has
discussed the concept of cloud computing to basic
readers. In 1990’s, there used to be single server
systems that takes huge time in computation of
resources. They may even take years to process one
request. With advent of time, things and technology
keeps on growing. More complex environments
have come that requires use of distributed
information resources among several levels of
abstraction. The only way to distribute resources

IJETSR
www.ijetsr.com
ISSN 2394 – 3386
Volume 4, Issue 6
June 2017
evenly is availability of centralized data servers in
cloud environments. So, this lead to development of
multiple clouds and way to manage them is done by
using ANEKA Management Studio.
On basis of cloud computing services, there are four
layers viz User Layer, Service Provider layer,
Virtualization Layer and Data Center layer.
Layer Components Security
Issues
End User or
User layer
Cloud
applications,
programming
tools and
environment.
Security as a
Service,
Browser
Security and
Authentication
Service
Provider
Layer
Service Level
Agreements
(SLA)
Monitoring,
Scheduler and
Dispatcher,
Load Balancer,
Policy
Management.
Identity,
Infrastructure,
Privacy, Audit
and
Compliance,
Cloud
Integrity.
Virtualization
layer
Number of
Virtual
Machines,
Number of
operating
systems and its
monitoring.
VM escape,
Infrastructure,
Identity and
Access
Management.
Data Center
Layer
Servers,
CPU’s,
Memory and
Hardware.
Data Storage,
Network and
Server.
Table 1: Security – major concern in Cloud
computing [7]
There are several hindrances in cloud provider’s
path as follows:
 Most of companies don’t know about cloud
and its benefits.
 There is lack of some programming model
that must be building in order to access multiple
services.
 Lack of tools and API’s for processing and
deployment of scalable applications.
 Lack of standard interfaces and classes to
implement virtualization and resources
management.
 Due to violation of terms and agreements of
services.
 Lack of portability and scalability in
applications dealing with various API’s and
modules.
The paper has following sections: Section 2 deals
with cloud computing basic deployment models and
need of multiple clouds in architecture. Section 3
deals with overview of ANEKA. It presents benefits
and major functions of ANEKA. Section 4 deals
with architecture of ANEKA consisting of various
modules attached with services and tasks. It also
depicts comparison among four programming
models of ANEKA. Section 5 concludes the
following paper.
2. BUILDING CLOUD BASED APPLICATION
In general, there are two ways by which cloud
application can be built. The application designed
may be of high level and low level.
High level applications are built using platform and
software like Google App Engine, Microsoft Azure,
ANEKA and Amazon Web Services. Low level
applications are built by using services provided by
Infrastructure as a Service (IaaS) layer of cloud
computing architecture. The layer provides API’s
that helps in creation and management of resources
including storage and scheduling services.
Examples of IaaS cloud service providers include
Amazon EC2, Eucalyptus, Sun Cloud, GoGrid and
many more [9]. There are many providers but to
select from one of them is difficult and confusing
task.
Software Infrastructure: - It provides network
resources to two layers namely: Software
environment and Application layer above it. This
layer leads to generation of new software
environments and applications that will be delivered
to end users in form of services.
Services in this layer are as follows:
(i) Computational resources (IaaS) also called
Infrastructure as a service. This is available to
customers in form of virtual machines (VM). Cloud
provider offers computing resources to users
without changing the physical infrastructure of data
centers. IaaS allocates resources among various
virtual servers.Examples of clouds that offer IaaS
are Amazon elastic compute cloud(EC2), Reservoir
architecture [8]

IJETSR
www.ijetsr.com
ISSN 2394 – 3386
Volume 4, Issue 6
June 2017
(ii) Data Storage as a Service (DaaS): - It stores
data of users on servers located in remote locations.
Users can access their information via web.
Examples of clouds in DaaS are Amazon S3 (simple
storage device), zector zumodrive.
(iii) CaaS (communication as a service):- It
provides communication that is reusable,
schedulable, configurable and also encrypted.
Examples include VOIP (Voice over internet
telephone), E-mail and Video conferencing.
2.1. Basic Deployment Models of Computing
They are also referred to as cloud computing types-
Public Cloud, Private Cloud and Hybrid Cloud.
Public Clouds: - They provide services to anyone
globally with an Internet connection. E.g. YouTube
and yahoo are sites from which user access data in
form of emails, attachments, videos from any
device that has internet connection.
Private Clouds: - They provide services privately
with limited number of people using that network.
Hybrid Cloud: - It is combination of both public
and private cloud models. It has features of public
as well as private cloud to, manage workload on
cloud.
S.No. Public
Cloud
Private
Cloud
Hybrid
Cloud
1. Simple and
easy to
use.
Monitoring
is needed
to control
latest
software
updates
Most
efficient
(combination
of both)
2. Widely
accessible.
limited
accessible
Used to
reduce work
load.
3. Less costly
and
reliable
More
costly and
less
reliable
Most costly
and most
reliable.
4. Suitable
for
handling
large
workload
pressure
Not
suitable for
large
workload
pressure
Suitable for
handling
large
workload
pressure
Table 2: Differences among deployment models
[4]
2.2Need of Multiple Clouds and Management of
Resources
Multiple clouds are developed to reduce risks that
are generated by unreliable services in order to
achieve fault tolerance. Utilization of multiple
clouds requires management of cloud interfaces by
using cloud applications to be run on different
operating systems.
Need of Resource Management: - It is needed to
monitor, maximize and distribute the computational
resources available from each cloud vendors having
protocols in different layers like physical layer,
platform layer, metaphor layer, communication
layer, management layer and end points layer.
3. DEALING WITH ANEKA
Fig 1: ANEKA Quick Overview
About ANEKA: - ANEKA is one of first platform for
developing applications on cloud. It utilizes extra
CPU cycles in order to access desktop services from
heterogeneous networks. It is market oriented
platform or framework which means that it is
possible to build, schedule, monitor results by giving
some money for using IT services like Quality of
Service (QoS) in both public as well as private
clouds.
Objective: - Support open-ended set of abstractions
and features for distributed computing and
deployment scenarios. Abstractions mean set of
resources and their instances. These instances are
extended by implementing the base classes of
Programming models (Task, Thread, Parameter and
MapReduce).
Position of ANEKA in cloud architecture: -
ANEKA is available at PaaS in cloud environment.
In this layer, it provides various application
interfaces used for developing distributed
environment and multiple clouds and execute them.
Virtualization in ANEKA: ANEKA cloud is
combination of multiple resources connected to each
other in a network. These resources can be modified
as per user demands by using Virtualization.
ANEKA Governing Body: MANJRASOFT
MANJRASOFT Pvt. Ltd. Is one of organization that
works on cloud computing technology by developing
software compatible with distributed networks across
multiple servers.

IJETSR
www.ijetsr.com
ISSN 2394 – 3386
Volume 4, Issue 6
June 2017
3.1 ANEKA Basic Functions
(a) BUILD: -
ANEKA builds environment with the help of
software development kit (SDK) consisting of
various tools and packages that leads to creation of
new applications to run on multiple servers. It
requires use of Design explorer which is type of
GUI to identify data types in applications. The
layout of design explorer is shown further.
(b) Deployment and Development: -
(i) Deployment involves use of design explorer in
addition to some thread model facility like
parameter sweeping. It is defined as generating
different versions of same application. In
programming term, it is called as overloading.
(ii) It makes aware of linguistic features that help to
access resources from existing applications in faster
time.
(iii) This phase requires development of application
only one time and then uses that application in
multiple environments. It supports virtual machines
as well as physical machines in cloud environment.
(iv) ANEKA maintains queue and put some
applications in queue for further execution.
(c) Manage
It deals with ANEKA Management Studio that
consists of various interfaces, console, uninstalled
machines, installed machines, credentials and many
more. This studio performs many tasks like quick
installation of desktop services, provides interface
for using design explorer, dynamic allocation of
resources at run time in order to achieve high
scalability, pay per usage service, allows flexibility
and modularity in usage of resources an detection of
services that are violating SLA’s. It has container
that consists of scheduler, executor for providing
various services at run time.
The following page shows ANEKA cloud
application framework.
4. ANEKA FRAMEWORK

IJETSR
www.ijetsr.com
ISSN 2394 – 3386
Volume 4, Issue 6
June 2017
Fig 1: Detailed View of ANEKA architecture
The Design Explorer of ANEKA is shown pictorially as:
ANEKA Multiple CLOUD Combination
Private Cloud: (Data Centers, Uses Desktop
services like execution, fabric etc) Public Cloud: Cloud providers (GoGrid,
Azure, Amazon EC2)
+
Integration into ANEKA
AMAZON AZURE

IJETSR
www.ijetsr.com
ISSN 2394 – 3386
Volume 4, Issue 6
June 2017
4.1 Comparison among programming models of ANEKA
Feature Task
programming
Model
Thread
Programming
Model
MapReduce
programming Model [5]
Parameter
Sweeping
Model
Type Basic general
model
Low level High Level Rapid prototype
Operations Submit and forget Start, Stop, State
Query and Join
Map (map ::( key1,
value1)= list (key2, value
2)
Reduce (reduce: (key2,
list value 2) = list (value
3)
Parallelism
Usage Legacy
applications
Distributed
network systems
Data mining and analytics Legacy
applications
Middleware No No yes yes
User domain yes Yes No No
Task Based Yes Yes No No
Function Based No No yes yes
Examples Convolution,
Excel Grid
Mandelbrot word counter
5. CONCLUSION
ANEKA is one of first platform for developing
applications on cloud. It utilizes extra CPU cycles
in order to access desktop services from
heterogeneous networks. It is market oriented
platform or framework which means that it is
possible to build, schedule, monitor results by
giving some money for using IT services like
Quality of Service (QoS) in both public as well as
private clouds. It supports open-ended set of
abstractions and features for distributed computing
and deployment scenarios. Abstractions mean set
of resources and their instances. These instances are
extended by implementing the base classes of
Programming models (Task, Thread, Parameter and
MapReduce).
The paper deals with features of ANEKA
describing its architecture and comparison among
various models of computing. ANEKA has wide
GUI that helps in building cloud environment on
installed systems.
REFERENCES
[1]. Quiroz A, Kim H, Parashar M, Gnanasambandam N,
Sharma N, 2009, “Towards workload provisioning
for enterprise grids and clouds”,IEEE/ACM
international conference on grid computing. pp 50-
57.
[2]. Soramichi Akiyama, Takahiro Hirofuchi, Ryousei
Takano, Shinichi Honiden, 2012, “MiyakoDori: A
Memory Reusing Mechanism for Dynamic VM
Consolidation”, Fifth International Conference on
Cloud Computing, IEEE 2012.
[3]. Abirami S.P., ShaliniRamanathan, 2012 “Linear
Scheduling Strategy for Resource allocation in
CloudEnvironment”,InternationalJournal on Cloud
Computing and Architecture vol.2, No.1, February.
[4]. RajkumarBuyya, Chee Shin Yeo,
SrikumarVenugopal, James Broberg, and
IvonaBrandic, Cloud Computing and Emerging IT
Platforms: Vision, Hype, and Reality for Delivering
Computing as the 5th Utility, Future Generation
Computer Systems, 25(6):599-616, Elsevier Science,
Amsterdam, The Netherlands, June 2009.
[5]. Chao Jin, RajkumarBuyya, MapReduce
Programming Model for .NET-Based Cloud
Computing, Euro-Par 2009: 417-428.

IJETSR
www.ijetsr.com
ISSN 2394 – 3386
Volume 4, Issue 6
June 2017
[6] Sanjay Ghemawat and Jeffrey Dean, MapReduce:
Simplified Data Processing on Large Clusters,
Symposium on Operating System Design and
Implementation (OSDI’04), San Francisco, CA,
USA, 2004
[7]. Michael Armbrust, Armando Fox, Rean Griffith,
Anthony D. Joseph, Randy Katz, Andy Konwinski,
Gunho Lee, David Patterson, Ariel Rabkin, Ion
Stoica, MateiZaharia, A View of Cloud Computing,
Communications of the ACM, Vol. 53 No. 4, Pages
50-58, 2010
[8]. Rao Mikkilineni, Vijay Sarathy "Cloud Computing
and Lessons from the Past", Proceedings of IEEE
WETICE 2009, First International Workshop on
Collaboration & Cloud Computing, June 2009.
[9].Dan Sullivan, “The Definitive Guide to Cloud
Computing”, Realtime Publishers

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