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Reseach Article

Comparative Study of Mutual Exclusion in Distributed Environment

Published on July 2015 by Varsha Bhatia, Parveen Kumar
Innovations in Computing and Information Technology (Cognition 2015)
Foundation of Computer Science USA
COGNITION2015 - Number 1
July 2015
Authors: Varsha Bhatia, Parveen Kumar
e8d6f718-b792-4e0b-9424-d97dafd12849

Varsha Bhatia, Parveen Kumar . Comparative Study of Mutual Exclusion in Distributed Environment. Innovations in Computing and Information Technology (Cognition 2015). COGNITION2015, 1 (July 2015), 19-23.

@article{
author = { Varsha Bhatia, Parveen Kumar },
title = { Comparative Study of Mutual Exclusion in Distributed Environment },
journal = { Innovations in Computing and Information Technology (Cognition 2015) },
issue_date = { July 2015 },
volume = { COGNITION2015 },
number = { 1 },
month = { July },
year = { 2015 },
issn = 0975-8887,
pages = { 19-23 },
numpages = 5,
url = { /proceedings/cognition2015/number1/21890-2117/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Innovations in Computing and Information Technology (Cognition 2015)
%A Varsha Bhatia
%A Parveen Kumar
%T Comparative Study of Mutual Exclusion in Distributed Environment
%J Innovations in Computing and Information Technology (Cognition 2015)
%@ 0975-8887
%V COGNITION2015
%N 1
%P 19-23
%D 2015
%I International Journal of Computer Applications
Abstract

The traditional mutual exclusion problem in distributed systems occurs when only one process should access a shared resource. The mutual exclusion algorithm performance is calculated by the number of messages exchange per critical section execution called Message complexity and the delay between successive executions of the critical section, known as Synchronization delay. For designing mutual exclusion algorithm, one has to compromise either for the message complexity or for the synchronization delay. Hence a comparative study based on these two metrics is performed. An organized approach is essential to solve Mutual exclusion problem. This study will provide a suitable context for technical and clear assessment of existing algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Distributed Mutual Exclusion Mutual Exclusion Critical Section (cs) Synchronization Delay (sd) Message Com-plexity.