面向服务计算中动态绑定可靠性评估框架

Anthony Sargeant, P. Townend, Jie Xu, K. Djemame
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摘要

面向服务的计算(SOC)提供了一个灵活的框架,在这个框架中,应用程序可以由服务构建,这些服务通常分布在整个网络中。SOC的承诺之一是动态绑定,其中抽象的消费者请求在运行时绑定到具体的服务实例,从而提供高度的灵活性和适应性。现有的研究大多集中在动态绑定操作的设计和实现上,对动态绑定系统的综合评价,特别是系统失效和可靠性方面的研究很少。在本文中,我们提出了一个新的,可扩展的评估框架,允许测试和评估动态绑定系统(DBS)。基于专门为DBS建立的故障模型,我们能够选择性地插入可能影响DBS的故障类型并观察其行为。通过将DBS视为一个黑盒并分发评估框架的组件,我们不局限于DBS的实现技术,也不需要与测试中的DBS一起位于相同的环境中。我们展示了一系列实验的结果,重点关注现实生活中的DBS与它所使用的服务之间的交互。在NECTISE软件演示器(NSD)系统上的测试结果表明,我们提出的方法和测试框架能够触发NSD系统由于交互错误而产生的异常行为,并产生重要的信息,以提高被测系统的可靠性和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evaluation framework for assessing the dependability of Dynamic Binding in Service-Oriented Computing
Service-Oriented Computing (SOC) provides a flexible framework in which applications may be built up from services, often distributed across a network. One of the promises of SOC is that of Dynamic Binding where abstract consumer requests are bound to concrete service instances at runtime, thereby offering a high level of flexibility and adaptability. Existing research has so far focused mostly on the design and implementation of dynamic binding operations and there is little research into a comprehensive evaluation of dynamic binding systems, especially in terms of system failure and dependability. In this paper, we present a novel, extensible evaluation framework that allows for the testing and assessment of a Dynamic Binding System (DBS). Based on a fault model specially built for DBS's, we are able to insert selectively the types of fault that would affect a DBS and observe its behavior. By treating the DBS as a black box and distributing the components of the evaluation framework we are not restricted to the implementing technologies of the DBS, nor do we need to be co-located in the same environment as the DBS under test. We present the results of a series of experiments, with a focus on the interactions between a real-life DBS and the services it employs. The results on the NECTISE Software Demonstrator (NSD) system show that our proposed method and testing framework is able to trigger abnormal behavior of the NSD due to interaction faults and generate important information for improving both dependability and performance of the system under test.
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