Progressive Reliability Forecasting of Service-Oriented Software

2011 IEEE International Conference on Web Services Pub Date : 2011-07-04 DOI:10.1109/ICWS.2011.103

An Liu, Ewa Musial, Mei-Hwa Chen

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引用次数: 9

Abstract

Reliability is an essential quality requirement for service-oriented systems. A number of models have been developed for predicting reliability of traditional software, in which code-based defects are the main concern for the causes of failures. Service-oriented software, however, shares many common characteristics with distributed systems and web applications. In addition to residual defects, the reliabilities of these types of systems can be affected by their execution context, message transmission media, and their usages. We present a case study to demonstrate that the reliability of a service varies on an hourly basis, and reliability forecasts should be recalibrated accordingly. In this study, the failure behavior of a required external service, used by a provided service, was monitored for two months to compute the initial estimates, which then continuously re-computed based on the learning of the new failure patterns. These reliabilities are integrated with the reliability of the component in the provided service. The results show that with this progressive re-calibration we provide more accurate reliability forecasts for the service.

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面向服务软件的渐进式可靠性预测

可靠性是面向服务系统的基本质量要求。已经开发了许多模型来预测传统软件的可靠性，其中基于代码的缺陷是导致失败的主要原因。然而，面向服务的软件与分布式系统和web应用程序有许多共同的特征。除了残留的缺陷之外，这些类型的系统的可靠性还会受到它们的执行上下文、消息传输媒体和它们的用法的影响。我们提出了一个案例研究来证明服务的可靠性每小时都在变化，可靠性预测应该相应地重新校准。在本研究中，对所提供服务使用的所需外部服务的故障行为进行了两个月的监测，以计算初始估计，然后根据对新故障模式的学习不断重新计算。这些可靠性与所提供服务中组件的可靠性集成在一起。结果表明，通过这种渐进式重新校准，我们为服务提供了更准确的可靠性预测。

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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2011 IEEE International Conference on Web Services

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