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Reseach Article

Data Management in Cloud Based Environment using k-Median Clustering Technique

Published on January 2014 by Kashish Ara Shakil, Mansaf Alam
International IT Summit Confluence 2013-The Next Generation Information Technology Summit
Foundation of Computer Science USA
CONFLUENCE2013 - Number 3
January 2014
Authors: Kashish Ara Shakil, Mansaf Alam
335e374e-dd13-4c36-813d-b2803465174b

Kashish Ara Shakil, Mansaf Alam . Data Management in Cloud Based Environment using k-Median Clustering Technique. International IT Summit Confluence 2013-The Next Generation Information Technology Summit. CONFLUENCE2013, 3 (January 2014), 8-13.

@article{
author = { Kashish Ara Shakil, Mansaf Alam },
title = { Data Management in Cloud Based Environment using k-Median Clustering Technique },
journal = { International IT Summit Confluence 2013-The Next Generation Information Technology Summit },
issue_date = { January 2014 },
volume = { CONFLUENCE2013 },
number = { 3 },
month = { January },
year = { 2014 },
issn = 0975-8887,
pages = { 8-13 },
numpages = 6,
url = { /proceedings/confluence2013/number3/15125-1319/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International IT Summit Confluence 2013-The Next Generation Information Technology Summit
%A Kashish Ara Shakil
%A Mansaf Alam
%T Data Management in Cloud Based Environment using k-Median Clustering Technique
%J International IT Summit Confluence 2013-The Next Generation Information Technology Summit
%@ 0975-8887
%V CONFLUENCE2013
%N 3
%P 8-13
%D 2014
%I International Journal of Computer Applications
Abstract

Cloud Computing is the use of computing resources in a new and technologically more advanced manner. It is a fine blend of service oriented characteristics and utility based computing. The growth rate of data in cloud environment is reaching an exponential rate. Therefore there is a need to manage this huge heterogeneous data which can be both unstructured and structured in nature. This data can be managed at different levels in cloud i. e. at the end user level, cloud service provider level and data center level. The proposed approach defines how k medians clustering can be used as an efficient technique for management of data in cloud. The number of data centers is taken as the value of k in the proposed technique. This approach also takes into account the advantage of Cloud data base management system (CDBMS) and applies it to various distributed data centers.

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Index Terms

Computer Science
Information Sciences

Keywords

Cdbms Map Reduce Big Table K-median Clustering Data Management