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A Compressed Technique to Optimize the Processing of Real Time Data in Centralized and Client-Server Data Base Systems

by Amit Sinha, Rajendra Kr. Isaac
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 9
Year of Publication: 2015
Authors: Amit Sinha, Rajendra Kr. Isaac
10.5120/20179-2392

Amit Sinha, Rajendra Kr. Isaac . A Compressed Technique to Optimize the Processing of Real Time Data in Centralized and Client-Server Data Base Systems. International Journal of Computer Applications. 115, 9 ( April 2015), 13-15. DOI=10.5120/20179-2392

@article{ 10.5120/20179-2392,
author = { Amit Sinha, Rajendra Kr. Isaac },
title = { A Compressed Technique to Optimize the Processing of Real Time Data in Centralized and Client-Server Data Base Systems },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 9 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number9/20179-2392/ },
doi = { 10.5120/20179-2392 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:21.564044+05:30
%A Amit Sinha
%A Rajendra Kr. Isaac
%T A Compressed Technique to Optimize the Processing of Real Time Data in Centralized and Client-Server Data Base Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 9
%P 13-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The processing of real time transaction is an important issue in present scenario. It depends on various constraints of architecture such as data size, bandwidth speed, network latency and machine configuration etc. The present paper proposes a mathematical model to improve in the response time in centralized and client-server paradigm. The work also shows the improvement through simulation done in MatLabR2014.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Real-time systems Compressed Technique Client-Server Data

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