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Performance of Fair Distributed Mutual Exclusion Algorithms

机译:公平分布式互斥算法的性能

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The classical Ricart-Agrawala algorithm (RA) has long been considered the most efficient fair mutual exclusion algorithm in distributed message-passing systems. The algorithm requires 2(N — 1) messages per critical section access, where N is the number of processes in the system. Recently, Lodha-Kshemkalyani proposed an improved fair algorithm (LK) that requires between N and 2(N — 1) messages per critical section access, and without any extra overhead. The exact number of messages depends on the concurrency of requests, and is difficult to prove or analyze theoretically. This paper shows the superior performance of LK over RA using extensive simulations under a wide range of critical section access patterns and network loads.
机译:长期以来,经典的Ricart-Agrawala算法(RA)被认为是分布式消息传递系统中最有效的公平互斥算法。该算法每个关键节访问需要2(N_1)条消息,其中N是系统中的进程数。最近,Lodha-Kshemkalyani提出了一种改进的公平算法(LK),该算法每关键段访问需要N到2(N_1)条消息,并且没有任何额外开销。消息的确切数量取决于请求的并发性,并且在理论上难以证明或分析。本文通过在各种关键部分访问模式和网络负载下进行广泛的仿真,显示了LK优于RA的性能。

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