Improving Performance of Composite Web Services

IEEE International Conference on Service-Oriented Computing and Applications (SOCA '07) Pub Date : 2007-06-19 DOI:10.1109/SOCA.2007.25

D. Dyachuk, R. Deters

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引用次数: 19

Abstract

Composite Web Services (CWS) aggregate multiple Web Services in one logical unit in order to accomplish a complex task (e.g. business process). This orchestration is typically achieved by use of a workflow language. Workflows facilitate the process of aggregating existing atomic and other CWS into new service layers. However due to numerous consumers and possible fluctuations in their arrivals the services performance under various loads becomes an important issue. Service compositions exposed to transient overloads expose problematic behaviour due to complex interactions of the underlying services. This in its turn usually results in the performance degradation. This paper proposes employing scheduling service requests in order to improve the overall CWS performance in overload situations. Different scheduling policies are evaluated for the CWS workflow patterns sequence and split-synchronization. In addition the paper presents scheduling policy called Augmented Least Work Reaming (ALWKR), that extends LWKR by taking advantage of existing workflow topology information.

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改进复合Web服务的性能

复合Web服务(CWS)将多个Web服务聚合在一个逻辑单元中，以完成复杂的任务(例如业务流程)。这种编排通常是通过使用工作流语言来实现的。工作流促进了将现有原子CWS和其他CWS聚合到新服务层的过程。然而，由于众多的消费者和他们到达的可能波动，服务在不同负载下的性能成为一个重要的问题。暴露于瞬态过载的服务组合由于底层服务的复杂交互而暴露出有问题的行为。这反过来通常会导致性能下降。为了提高过载情况下CWS的整体性能，本文提出了调度服务请求的方法。针对CWS工作流模式序列和分离同步，评估了不同的调度策略。此外，本文还提出了一种基于现有工作流拓扑信息的扩充最小工作扩孔调度策略(ALWKR)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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IEEE International Conference on Service-Oriented Computing and Applications (SOCA '07)

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