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Architecting Distributed Domain Reducer in Cloud Environment

by Umar Khalid Farooqui, Mohammad Hussain, Ashish Kumar Trivedi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 40 - Number 12
Year of Publication: 2012
Authors: Umar Khalid Farooqui, Mohammad Hussain, Ashish Kumar Trivedi
10.5120/5017-7348

Umar Khalid Farooqui, Mohammad Hussain, Ashish Kumar Trivedi . Architecting Distributed Domain Reducer in Cloud Environment. International Journal of Computer Applications. 40, 12 ( February 2012), 24-29. DOI=10.5120/5017-7348

@article{ 10.5120/5017-7348,
author = { Umar Khalid Farooqui, Mohammad Hussain, Ashish Kumar Trivedi },
title = { Architecting Distributed Domain Reducer in Cloud Environment },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 40 },
number = { 12 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume40/number12/5017-7348/ },
doi = { 10.5120/5017-7348 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:27:54.049964+05:30
%A Umar Khalid Farooqui
%A Mohammad Hussain
%A Ashish Kumar Trivedi
%T Architecting Distributed Domain Reducer in Cloud Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 40
%N 12
%P 24-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Here in this we would like to propose an architecture which reduce huge data set into smaller one. Huge data set could be list of document urls given by web services which is to be filtered according to user specific search criterion. It run jobs in parallel environment and also schedule jobs automatically. Also we will propose a technique by which it will clean up the data and reduce the complexity. Hope that it will be more efficient and effective.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cluster Container Map Reduce Persistence Storage De-provisioning Cleanup.