云计算环境下基于agent的在线质量度量方法

Zhenyu Liu, Tiejiang Liu, T. Lu, Lizhi Cai, Genxing Yang
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引用次数: 8

摘要

本文研究了云计算环境下的在线质量测量。分析了现有软件质量评价体系中浓度度量的评价方法。众所周知,现有的评估技术都是在运行前进行集中评估。通过测试和分析结果,获得了质量。本文通过分析云计算环境的特点,认为面向服务的评估应主要基于运行时在线度量。提出了基于agent的在线度量基础设施,并在服务计算环境下采用分布式评估的方法对其进行评价。该方法取代了以往在模拟环境中进行集中和模拟的质量评价。在此基础上,提出了一种基于分布式代理技术的质量数据采集度量方法。因此,在在线服务操作中,获得的数据可以使测量结果准确可信。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agent-Based Online Quality Measurement Approach in Cloud Computing Environment
This paper studies online quality measurement in cloud computing environment. The paper analyzes concentration measure evaluation method of the current software quality evaluation system. As is known to all, the existing evaluation technology uses concentrated evaluation before run-time. By testing and analyzing results, the quality is obtained. In this paper, by analyzing the features in cloud computing environment, we consider that service-oriented evaluation should be mainly based on runtime online measurement. The paper puts forward agent-based online measure infrastructure, which is evaluated by distributed assessment in service computing environment A quality model and corresponding online data collection strategy are described. In this approach, the previous quality evaluation, which is concentrated and simulating in a simulated environment, is substituted. Then, a novel measure method of quality data acquisition, which is based on distributed agent technology, is established. So, during online service operation, the obtained data can make measurement results to be accurate and credible.
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