DocumentCode :
3414636
Title :
Empirical evaluation of distributed mutual exclusion algorithms
Author :
Fu, Shiwa S. ; Tzeng, Nian-Feng ; Li, Zhiyuan
Author_Institution :
Center for Adv. Comput. Studies, Southwestern Louisiana Univ., Lafayette, LA, USA
fYear :
1997
fDate :
1-5 Apr 1997
Firstpage :
255
Lastpage :
259
Abstract :
We evaluate various distributed mutual exclusion algorithms on the IBM SP2 machine and the Intel iPSC/860 system. The empirical results are compared in terms of such criteria as the number of message exchanges and the response time. Our results indicate that the Star algorithm (M.L. Neilsen and M. Mizuno, 1991) achieves the shortest response time in most cases among all the algorithms on a small to medium sized system, when processors request for the critical section many times before involving any barrier synchronization. On the other hand, if every processor enters the critical section only once before encountering a barrier, the improved Ring algorithm (S.S. Fu and N.-F. Tzeng, 1995) is found to outperform others under a heavy load; but the Star algorithm and the CSL algorithm (Y.I. Chang et al., 1990) prevail when the request rate becomes light. The best solution to mutual exclusion in distributed memory systems is determined by how participating sites generate their mutual exclusion requests
Keywords :
concurrency control; distributed algorithms; distributed memory systems; message passing; resource allocation; CSL algorithm; IBM SP2 machine; Intel iPSC/860 system; Star algorithm; barrier synchronization; concurrency control; critical section; distributed memory systems; distributed mutual exclusion algorithms; empirical evaluation; heavy load; improved Ring algorithm; medium sized system; message exchanges; mutual exclusion requests; request rate; response time; Computational modeling; Delay; Distributed computing; Laboratories; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing Symposium, 1997. Proceedings., 11th International
Conference_Location :
Genva
ISSN :
1063-7133
Print_ISBN :
0-8186-7793-7
Type :
conf
DOI :
10.1109/IPPS.1997.580904
Filename :
580904
Link To Document :
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