Empirical evaluation of distributed mutual exclusion algorithms

S. Fu, N. Tzeng, Zhiyuan Li
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引用次数: 16

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.
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分布式互斥算法的实证评价
我们在IBM SP2机器和Intel iPSC/860系统上评估了各种分布式互斥算法。根据消息交换次数和响应时间等标准对实证结果进行了比较。我们的结果表明,当处理器在涉及任何屏障同步之前多次请求临界段时,在大多数情况下,Star算法(M.L. Neilsen和m.m izuno, 1991)在中小型系统的所有算法中实现了最短的响应时间。另一方面,如果每个处理器在遇到障碍之前只进入临界区一次,则改进的Ring算法(S.S. Fu和n.n - f。Tzeng, 1995)被发现在重载下表现优于其他人;但当请求率变低时,采用Star算法和CSL算法(Y.I. Chang et al., 1990)。分布式内存系统中互斥的最佳解决方案取决于参与站点如何生成互斥请求。
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