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The stochastic rendezvous network model for performance of synchronous client-server-like distributed software

机译:同步客户端-服务器式分布式软件性能的随机会合网络模型

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Distributed or parallel software with synchronous communication via rendezvous is found in client-server systems and in proposed open distributed systems, in implementation environments such as Ada, V, remote procedure call systems, in transputer systems, and in specification techniques such as CSP, CCS and LOTOS. The delays induced by rendezvous can cause serious performance problems, which are not easy to estimate using conventional models which focus on hardware contention, or on a restricted view of the parallelism which ignores implementation constraints. Stochastic rendezvous networks are queueing networks of a new type which have been proposed as a modelling framework for these systems. They incorporate the two key phenomena of included service and a second phase of service. This paper extends the model to also incorporate different services or entries associated with each task. Approximations to arrival-instant probabilities are employed with a mean-value analysis framework, to give approximate performance estimates. The method has been applied to moderately large industrial software systems.
机译:在客户端-服务器系统和建议的开放式分布式系统中,在诸如Ada,V,远程过程调用系统之类的实现环境中,在晶片机系统中以及诸如CSP,CCS之类的规范技术中,可以找到具有通过集合点进行同步通信的分布式或并行软件。和LOTOS。集合点引起的延迟可能会导致严重的性能问题,而使用集中于硬件争用的传统模型或忽略实现约束的并行性的受限视图,使用常规模型很难估计这些性能问题。随机会合网络是一种新型排队网络,已提出作为这些系统的建模框架。它们结合了包含服务和服务第二阶段这两个关键现象。本文扩展了该模型,使其还包含与每个任务关联的不同服务或条目。均值分析框架采用了到达即时概率的近似值,以给出近似的性能估计值。该方法已应用于中等规模的工业软件系统。

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