A Resilient Framework for Fault Handling in Web Service Oriented Systems

Weidong Wang, Liqiang Wang, W. Lu
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引用次数: 10

Abstract

Resilience is an important factor in designing web service oriented systems due to frequent failures arising in runtime. These failures derive from the stochastic and uncertainty nature of a composite web service. Service providers need to rapidly address issue when a fault occurs in system running. But it is not easy to locate and fix the faults only using the log generated by the system. In this paper, we propose a resilient framework to automatically generate a fault handling strategy for each failed service to improve the efficiency of fault handling. In the framework, we design and implement three components including exception analyzer, decision maker, and strategy selector. First, The exception analyzer builds a record, derived from the system log generated by an application, for each failed service. Next, the decision maker adopts a k-means clustering approach to construct a decision including the fault handling to each failed service in a scope. Then, the strategy selector uses an integer program solver to generate the solution to strategy selection problem that is boiled down to the optimization problem. The experiment shows that the framework can improve resilience of Web service-oriented systems under acceptable overheads, and meanwhile the accuracy of fault handling strategy is over 95%.
面向Web服务系统的故障处理弹性框架
弹性是设计面向web服务系统的一个重要因素,因为在运行时经常会出现故障。这些故障源于组合web服务的随机性和不确定性。当系统运行出现故障时,服务提供商需要快速解决问题。但是仅依靠系统产生的日志信息很难定位和修复故障。为了提高故障处理的效率,我们提出了一个弹性框架来自动生成故障处理策略。在该框架中,我们设计并实现了异常分析器、决策器和策略选择器三个组件。首先,异常分析器从应用程序生成的系统日志中为每个失败的服务构建一个记录。其次,决策者采用k-means聚类方法构建决策,包括对范围内每个失败服务的故障处理。然后,策略选择器使用整数规划求解器生成策略选择问题的解,并将其归结为优化问题。实验表明,该框架可以在可接受的开销下提高Web服务系统的弹性,同时故障处理策略的准确率在95%以上。
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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