IRJET- Building a Big Data Provenance with its Applications for Smart Cities

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 451
Building a Big data provenance with its applications for Smart cities
V.M.Prabhakaran1, P.Devatharini2, L.Dineshkumar3, K.Prasanth4
1Assistant Professor, Dept of Computer Science and Engineering, KIT-Kalaignarkarunanidhi Institute of
Technology, Tamilnadu, India
2,3,4 Dept of Computer Science and Engineering, KIT-Kalaignarkarunanidhi Institute of Technology,
Tamilnadu, India
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ABSTRACT - The sustainability of enormous and eternally
data pools using different formats that cannot be processed
with conventional software tools is the next big confront for
web designers, Internet marketersandsoftwareengineersthat
requires new technologies and practices. One of the
approaches to deal with Big Data is to use Semantic Web
technologies, especially machine-interpretable metadata and
Linked Data. Thus the advent of Big Data era has changed the
outlook of numerous fields in science and engineering. We
focused on Big data applications such as Healthcare,
Education, Government, Media and Entertainment.Thispaper
surveys real-time big data analytics applications and their
technical challenges.
Keywords: Semantic Web technologies, Machine-
interpretable metadata, Big data applications
1. INTRODUCTION
A Big Data is an area that holds a large of data or
huge amount of data. Today we live in a world where Big
data is driven everywhere. For instance, every 60 seconds
there exists 98000+ tweets, 695000 status updates in Face
book and soon that extend to about 1,820 TB of data. Not
only social media, it is also being used in various fields like
Education, Banking, Healthcare, Industrial. It is a term with
both structured and unstructured data that includes
obtaining data, analysis, transfer, editing, privacy and so on.
Big Data analytics is classified accordingly Cost reduction,
Decision making and New product/services.
COST REDUCTION: It involves the cutting of cost from
expected level. An example for this is, Intel use Big Data
analytics for making chips. In a brief there was a
requirement for 19000 tests to be conducted on the chips ,
but with Big Data analytics process ,the tests were focused
only on specified chips to cut down the test time , which
saved Intel $3 Million in manufacturing.
DECISION MAKING: It helps the companies to make
improved and clear decisions. The obtaining data undergo
various steps like formatting, transfer, storage and analysis
for focused improvement.
NEW PRODUCT/ SERVICES: It uses predictive analysis to
introduce new products in the market. Firms can create
product that connect with the customer, which provide
increased customer value and minimize the risksassociated
with the launchof a new product. For instance, P&Gusesthis
term and focuses to launch a new product when there is a
need for it.
Fig-1: Big Data Deployment
2. LITERATURE SURVEY
S. No. Paper title Authors Problem statement
1 Big Data Driven Optimizationfor
Mobile Networks
towards 5G
Kan Zheng, Zhe Yang, Kuan Zhang,
PeriklisChatzimisios, Kan Yang, and
Wei Xiang
Big data convenience in mobile
network for treasuring immeasurable
data.
2 Recent achievements and new
challenges
Gema Bello-Orgaz , Jason J. Jung
,David Camachoa
Big data is a far reaching excessive
number of scrutinizesdepletedinsocial
media for information compound.
Table -1: Literature survey of Big data analysis of past, present and future

3 Understanding how big data
leads to social networking
vulnerability
Romany F. Mansour To notorious entangled social junction
while the big data running.
4 Big data driven smart energy
management: From big data to
big insights
Kaile Zhou, Chao Fu , Shanlin Yang Big data managed distinct technologies
for smart energy authority.
5 Big Data Meet Green Challenges:
Big Data Toward Green
Applications
Jinsong Wu, Senior Member, IEEE,
Song Guo, Senior Member, IEEE, Jie
Li, Senior Member, IEEE,
and Deze Zeng, Member, IEEE
Big data is immensely profitable at
foliage thread for future propagation.
big insights
Kaile Zhou , Chao Fu , Shanlin Yang Scrutiny of human emergency the
smart clothing is advanced by mingling
human with cloud
big insights
Kaile Zhou , Chao Fu , Shanlin Yang Big data is an enormousamount ofdata
torendersmart energy supervision.
8 Big-data for building energy
performance: Lessons from
assembling a very large national
database of building energy use
Paul A. Mathew , Laurel N. Dunn,
Michael D. Sohn, Andrea Mercado,
Claudine Custudio, Travis Walter
Big data for building energyhasdeplete
to posses energy flowing building for
panaroma size and application.
9 Big Data and virtualization for
manufacturing cyber-physical
systems: A survey of the current
status and future outlook
Radu F. Babiceanua,
RemziSeker
To syndicate a world with cyber
circulating world for future panorama .
10 Big data analytics based fault
prediction for shop floor
scheduling
Wei Ji, LihuiWanga, Big data appliances journal erection
system for deferment provinces.
11 Big Data Research in
Information Systems:Towardan
Inclusive Research Agenda
Ahmed abbasi,
SuprateekSarker,
Roger H. L. Chiang
Big data probing in agenta for
perception between big data future.x
12 MERRA Analytic Services:
Meeting the Big Data challenges
of climate science through
cloud-enabled ClimateAnalytics-
as-a-Service
John L. Schnase , Daniel Q. Duffy ,
Glenn S. Tamkin , Denis Nadeau, John
H. Thompson , Cristina M. Grieg ,
Mark A. McInerney , William P.
Webster
Big datadisputes in climate through
cloud computing to provide new
category in the data ceraminal stack
13 MetaCloudDataStorage
Architecture for Big Data
Security in Cloud Computing
GunasekaranManogarana,
ChanduThotab,M. Vijay Kumarc
Big data safeguard in cloud to advance
metadata .
14 Real-time business activity
monitoring and analysis of
process performanceonbig-data
domains
Alejandro Vera-Baquero ,Ricardo
Colomo-Palacios, Owen Molloy
Big data depleted in business
enterprise for concurrent destination.
15 Intelligent cryptography
approach for secure distributed
big data storage in cloud
computing
Yibin Li , KekeGai, Qiuc, MeikangQiu,
Hui Zhao
To safeguard data privacyhascynicalin
cloud so privilege numerous path
created for web employment.
3. APPLICATIONS OF BIG DATA
The various applications of Big data are,
A. Health Care
B. Erection Of Big Data
C. Big Data Enlargement
D. Government Proving Big Data
E. Media & Entertainment
F. Education

Fig-2: Applications of Big Data
A. HEALTH CARE
In health care industry the data can be generatedand
stored as hard copy it hasthe capability to support amedical
functions. Big data analyticshasbecome the crucialproblem
in healthcare informatics such as data querying, clinical
decision support etc., Big data is originally generatedinlarge
electronic data sets, to manage the data with conventional
software or hardware. Over the past decagon electronic
health care records(EHR) has been adoptedinclinics,patient
disease pattern can be studied in such data it will helpful to
improve patient care efficiently. Also uses “sniffer"
algorithms to identify the patient risks. "Health data allows
the doctor to shape the patient profile effectively presumes
and treats disease".
In traditional system of data storing makes simple
with the help of medical transcription workers, big data
replaces it and storing digitally arriveof big data technology
healthcare industry is going liberal of some application like
health care intelligence, monitoring patient vitals etc., it
reduces the cost burden appreciate the quality of human life
by halt the death. Researchers of 80% the health care data
becomes indeterminate and great challenges for the
industry. Due to this technology the industry spread their
wings and to support the healthcare management function
such as disease surveillance, populationhealthmanagement.
Fig-3: Representation of Healthcare Process
"Healthcare cost is increasing day by day so we demands of
some motivated thinking in this field". In this industry the
problem isn't the lack of data it’s used to support some
decision making, planning etc., For multi-patient, it’s tricky
to generate and lead to the emergence of big data
technology.
When coming to the Smart Healthcare Protection Idea, if an
accident happens in the road or in any public placethealarm
automatically intimates the emergency ambulance service
and it quickly reach the accident spot within the area.
B. ERECTION OF BIG DATA
Manufacturing organizations are glancing the ways
to improve their prediction while reducing costs defect
tracking to recuperate overall efficiency of improvements.
Customer experience is favored positively in the operational
improvements, maintaining new awareness information is
discerning. An assembling companiesbecomelargerthedata
must be handled more composite. In social media the
external data can be supplied the network channels will
implement a huge penetration. With the help of big data
solutions the operations can lead to improved and timely
decision making.
Today the Big Data Root Can Accommodate
(i). Operational system from conventional scheme
(ii). Chain data from sensor in manufacturing
(iii). Data from marketing

(iv). Sales offensive
(v). Announcing retort
Mass production companies have long lists of
production and conveyance measures. To salvage the
enforceable information from flourishing of data. In an
organization the list of top patches in data technologies:
Products of reformed telegraphing and production,realtime
decisions. A new way of customer support is an customer
experience. Developed information can qualifytoservetheir
customer in discursive way. In past 20 years to enhance the
legacy quality and revenue. The big data era has originated
while the advanced analytics is grounded in years of
mathematical research and scientific application. The
biopharmaceutical production that harvest can differ from
50 to 100%.
A company saves annually by 50 % resulting in
between $5 and $10 million of the aiming process. At some
time the Intel has exploiting big data for the processor. The
chipmaker tests the chip at staging line. The processor of
individual Intel core the company should save $3million for
completion cost. For manufacturing a chip the company can
save an appended at $30 million due to the widening of big
data. Due to the completion the big data can spell outtheany
problem.
C. BIG DATA ENLARGEMENT (Development Services)
"Big data is a documentation of source of big data
pertinent to the policies and planning for enhancement
program”. It’s totally differing from the "Traditional
development data”. Big data achievements arethosethatcan
be estimate to lecture insight into human well-being and
augmentation.
In general, provenance of big data provides
important benefits in key development patches. These
patches consider resource management, economic
productivity, health care, natural disaster, job marketed.Big
data will be the fuel dissemination to next industrial
reformation radically renovation of economic structure it’s
reaching into every aspects of social life. In 1946 the first
computer weight is thousands of kilograms but it does not
higher than 500 calculations per second these days, the IBM
Watson supercomputer can manner 500 gigabytes per
second that is the correlative of reading one million books
per second. Big data should categorize into two concepts:
Information and Communication Technology (ICT).
It precedes the exponential potential for
international development work across collective fields.
There is no end of these technologies that are qualifying the
use of big data. The growing of mobile phone technologies
has affected the developing countries in the past tenner. It
has been consumed to transfer money, test results in daily
life etc. Uses of big data in mobile analytics to collect the call
volume, calling pattern, and location call detail records etc.
Visual analytics are the most impressive side of big data
exploration to support the science of analytical reasoning
through interactive visual interfaces, in an limited size the
qualified information can be viewed. Although the visual
analyticsdoes not prolong the information about thehuman
interface, quickly recover the data to the user converse to
automatic data mining and machine gathering tools it
require soundness and knowledge.
Mobile technology dataset is useful for studied about the
social field to know more about the knowledge of social
network analytics these technology can be utilized to
appreciate multiple tools.
D. BIG DATA IN GOVERNMENT SECTOR
Government employing big data to strengthentheir
ability to serve citizens and also involving the economy,
health care, job creation and terrorism. Big data helps the
government to abundance and influence in security,
substantial for other needs of people. Big data is an
unorganized analysis it is too large and raw techniques. Big
data is a large amount of digital data and possessed from all
foundations. "Around 90% of the world has been
accomplished due to this past two years with 2.5 quintillion
bytes of data added every day, 90% are unregulated".
In any organization the big data in cloud, tenders
more openings to discovery, value creation and business
intelligence for decision support. It also hasnew protestsfor
complexity, security, and risks to privacy aswell asoccasion
for new technology and human skills. The data can be
redefined by management system from extracting,
transforming, loading into new technologies. Although big
data development the business sector is a leading position,
and the public sector helps to take the decision shaping in
real-time from fast growing in motion data from multiple
parts including the web, video, email and social
communications. To serve their citizens by the help of
articles and business reports from the natural disasters,
healthcare cost and terrorism. To transforming of data the
government must proceeds new technologies.
Fig-4: Storage analysis of Big Data

It makes difficult to monitor while the criminal attempts
heavily in sophisticated technology and innovations. The
new York city in the early 1990s,the crime rates are
extremely increased and the different police forces was
selected to explore how big data can be influenced to
anticipate and limited the crimes. The number carnages
between 1985 and 1990 has been increased from 1,392 to
2,262 and only five yearsthe 60% hasincreased.UsingNYPD
to hinder the high crime rates and accumulating the citizen
security.
During big data analytics the government has assessment of
dealing in the country. While the Indian government is also
use the big data for income tax estimations. CCTV cameras
and satellite are growing more data to the social
environment. The government spreading big data to secure
and maintain the individual sanctuary.
E. MEDIA & ENTERTAINMENT
The media and entertainment industries have been
always at the forefront of adopting new technologies. The
problems that are driving media to look at big data
capabilities are the need to reduce the costs of operating in
an increasingly competitive landscape and, at the sametime,
there is a great need to analyze and store the data generated
in diverse platform. In the field of media, the people in that
field are connected with their customers and competitors
than ever before. Data can be generated, sharedtoanyoneall
over the world with an Internet-enabled device .Global
revenues from such devices, includingSmartphone’s,tablets,
desktop PCs, TVs, games consoles, e-readers, wearable
gadgets, etc... This means that the ability of big data
technology to ingest, store, and process many different data
sources, and in real-time, is a valuable asset to the
companies who are prepared to invest in it. Analogue
products such as newspapers have been created through
digital technologies. Unlike some other sectors, the vast
majority of actionable data in the media sector is already in
digital form.
The media sector always generates huge amount of
data, whether from research, sales, customer databases, log
files, and so on. The big data provides technical solutions,
and strategies offer the ability to manage and disseminate
data at speeds and scales that have never been seen before.
Big data is also useful in analyzing data not only at the
customer and products levels, but also at network and
infrastructure Big data playsan important roleinprocessing
and storing and organizing data that aregeneratedbypeople
in media field.
Thus, the advantagesof big data are explained in five
scenarios. They are:
(i). Data Journalism: Large volumes of data have been
developing by media and also for the media. Single or
multiple datasets require analysis to derive insight, find
interesting stories, and generate material.
(ii). Dynamic Semantic Publishing: Scalable processing of
content for efficient targeting. Using semantic technologies
to both produce and target content more efficiently.
(iii). Social Media Analysis: Processing of large user-
generated content datasets. Real-time analysis of millionsof
tweets, images, status, videos, messages, updatesto identify
trends and content that can be packaged in value-added
services.
(iv). Product Development: Huge generationofdataforthe
analytics of new services for the development of products.
(v). Audience Insight: Using data from multiple sources to
build up a comprehensive 360 view of a Customer.
Entertainment and Social media companies should analyze
data that should not be in customer and productlevelsalone,
it should cover the network and infrastructure levels.
F. BIG DATA IN THE FIELD OF EDUCATION
In the last 20 years, the computing technology has
been growing fast replacing all the traditional methods. One
of the most important missions of computing is to share the
data. Business and government agencies are finding the
strategic uses of large databases. New software tools and
techniques are assumed to analyze the data for beneficial
inferences.
Even more, the web establishes new needs for
Information development. There is an enormous increasing
in the users level as well as information level leads to web
research. People used to surf the web always as it become a
regular habit of them starting with high quality human
maintained indexes such as Yahoo! or with search engines,
like Google. Big Data can provide advanced parallel
techniques, such as, data Analysts (both human and
machine), massive swaths of data to forecast situations like
activities and procedures. Hence, Big Data hasdevelopedthe
estimates, save money, boost the productivity etc…It also
improve decision-making in fields such as traffic control,
weather forecasting, disaster prevention, finance, fraud
control , business transaction, national security, health care
and Education. Finally aswe can see from the above, allhave
as a result many basic changeswith the data. Creating a new
era in which all processes and interactions including
scientific research are affected. In this case Big Data can
provide more opportunitiesfor new learning experience for
children and young adults. Hence students can share lot of
information among themselves and also with their with
educational institutions, in this way they can expand their
knowledge and skills. Furthermore, Educational institutes
and Universities are able to help and prepare their future.
Big Data plays really an important role in improving
the education and can afford to shape a modernanddynamic
education system, which every individual student can have
the maximum benefit from that. Furthermore teachershave
valuable tools, were they do not have before, which can

make their decisions more specific and are able to choose a
big variety of new learning methods. Hence the Big Data are
actually involved to change the way of industries including
the education. Due to advanced handling techniques of big
data the traditional difficulties will be no longer exists,
keeping the good methods. The education system will be
enriched with new learning ways, making more efficientand
targeted.
4. CONCLUSION
In the past, Big data have been used with predictive
analytics, high performance computing systems, machine
learning and other strategies and will continue to be used
heavily in the future of all the fields. Huge amount of data
can be stored, processed, accessed, and retrieved easilywith
the help of big data. By using the big data related systems,
Engineers and Scientists have been able to discover new
things and they have also been able to more accurately
predict daily weather as well as natural disasters.
ACKNOWLEDGEMENT
V.M.Prabhakaran,P.Devatharini,L.Dineshkumarand
K.Prasanth wishes to thank the Management, the Director,
the Principal, of their institute, KIT-Kalaignarkarunanidhi
Institute of Technology, for providing all the necessary
facilities and never ending support for the work. We wish to
thank their Department Head, Prof.Dr.R.Sukumar for the
freedom to pursue research and excellentresearchambience
provided by him. Our special thanks go to,
Prof.Dr.R.Nedunchezhian, Prof.Dr.S.Balamurugan and
Prof.Dr.P.Raviraj Pandian for sowing the seeds of thinking
big in research, their expert guidance and continuous
motivation.
REFERENCES
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Economic Value with High Technology in Urban
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[5]. Sankaranarayanan S.Balamurgan,Dr.P.Visalakshi,V
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Computing Environments. Australian Journal of Basic
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[6]. V.M. Prabhakaran, Prof S.Balamurgan ,A.Brindha
,S.Gayathri ,Dr.Gokul Kruba Shanker,DuruvakkumarV.S
NGCC: Certain Investigations on Next Generation 2020
Cloud Computing-Issues, ChallengesandOpenProblems
Australian Journal of Basic and Applied Sciences (2015)
[7]. V.M. Prabhakaran and Dr.Gokul Kruba Shanker
S.Balamurugan ,R.P.shermy Internet of Ambience: An
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Berlin Heidelberg: Springer.
BIOGRAPHIES
V.M.Prabhakaran obtained his B.E
degree in Computer Science and
Engineering from Hindusthan Institute of
Technology, Coimbatore,Tamilnadu,India
and completed his M.E degree in
Computer Science and Engineering from
Kalaignarkarunanidhi Institute of
Technology, Coimbatore, Tamilnadu, India. He has to his
credit 40 papers in National/International
Journals/Conferences. He is the recipient of gold meal and
certificate of merit for best journal publications by his host
institution for the year 2013-14. He served as a Secretaryfor
CSE Association at Hindusthan InstituteofTechnology2012-
13 also served as a President for CSE Association at
Kalaignarkarunanidhi Institute of Technology 2014-15. He
is an active member of ISTE, IAENG, IRDP. Completed
consultancy project regarding Medical Healthcare.Actedasa
coordinator for variousevaluation processNBA,NAAC,NIRF
and MDRA. His area of research includes Cloud computing,
Big data analytics and Cyber Security.

P. Devatharini is pursuing her B.E.
Engineering at KIT-Kalaignarkarunanidhi
Institute of Technology,Coimbatore,Tamil
Nadu, India. She completed her project in
Augmented Reality. She has certified for
attending the Two days conference on
“NATIONAL CYBER SAFETY AND SECURITY’17” organized
by National Cyber Safety and Security at BITS Pilani-
Hyderabad and attending "SECURITY SUMMIT' 17"
organized by Cloud Security Alliance at Dr. G R Damodaran
College of Science, Coimbatore. She has certified for
attending one day workshop on "Ethical Hacking" at KIT-
KalaignarKarunanidhi Institute of Technology, coimbatore.
She has certified for her 24 hours involvement in "THE
LARGEST LEARNATHON OF INDIA", conducted by ICT
Academy and Trailhead. She Presented his project model
related to Augmented Reality and Won 2nd Place in the Mini-
Project Expo organized by Department of Computer Science
and Engineering in his host institution. Her areasofresearch
includes Internet of Things(IoT), Computer graphics,
Augmented reality and Network security.
L.Dineshkumar currently pursuing his
B.E degree in Computer Science and
Engineering atKIT-Kalaignarkarunanidhi
Institute of Technology. He is servingasa
Treasurer for CSE Association .He is also
the student co-ordinator for organizing
various events. He Presented his project
model related to Ethical Hacking and Won 3rd Place in the
Mini-Project Expo organized by Department of Computer
Science and Engineering in his host institution. His area of
interests include web designing , Big data analytics and
Interested in Hacking related Technologies.
K.Prasanth currently pursuing his B.E
Engineering atKIT-Kalaignarkarunanidhi
Institute of Technology. He is servingasa
Joint Secretary for CSE association. He is
also one of the student co-ordinators in
his college and organized variousevents.
He is one of the member in NCDRC
(National Cyber Defence Research Centre) in his Institution.
He has participated in the National Cyber SafetyandSecurity
Standards Summit '17 at BITS Pilani-Hyderabad Campus.
Also participated in various ICT Academy organized events
like Youth Leadership Summit '17 and New India Student
Championship -2018(Largest Learnathon Of India). Hisarea
of interests include web designing, Big data analytics and
Augmented reality.

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