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A Stochastic Timed Performance Model for Web Service Composition

机译:Web服务组合的随机定时性能模型

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In recently years, the web service composition becomes a new approach of distributed application integration. The time cost of the composed web service is one of the most concerned characters by users. Due to the long delay and uncertainty of the Internet, the performance prediction becomes a difficult problem for the web service composition. A novel performance simulation model, called STPM, is presented in this paper. Based on the stochastic timed Petri net, the STPM model can simulate and predict multiple performance characters, such as the average delay time of the service request, the average length of the service request queue and average response time of the service request etc. To examine the validation of the STMP model for performance simulation of WSC, some simulation experiments have been fulfilled based on the CPN Tools, a modeling and simulation tools based on the hieratical CPN. The experiment results demonstrate the feasibility and efficiency of the STPM model.
机译:最近,Web服务组成成为分布式应用程序集成的新方法。编组Web服务的时间成本是用户最关注的字符之一。由于互联网的长延迟和不确定性,性能预测成为Web服务组合的难题。本文提出了一种名为STPM的新型性能仿真模型。基于随机定时Petri网,STPM模型可以模拟和预测多个性能特征,例如服务请求的平均延迟时间,服务请求队列的平均长度和服务请求等的平均响应时间。要检查基于CPN工具,基于静脉CPN的模拟和仿真工具,已经满足了WSC的性能模拟STMP模型的验证。实验结果证明了STPM模型的可行性和效率。

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