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一种资源敏感的Web应用性能诊断方法
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Supported by the National Natural Science Foundation of China under Grant No.90718033 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant Nos.2007AA01Z134, 2007AA010301 (国家高技术研究发展计划(863)); the National Basic Research Program of China under Grant No.2009CB320704 (国家重点基础研究发展计划(973)); the Major Science and Technology Project of China under Grant No.2009ZX01043-001-05 (国家科技重大专项)

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    摘要:

    提出一种资源敏感的性能诊断方法.对于Web应用事务,该方法利用资源服务时间对于不同负载特征相对稳定的特点建立性能特征链,并依据运行时资源服务时间异常实现性能异常的有效检测、定位和诊断.实验结果表明,该方法可适应系统负载特征变化,诊断各种资源使用相关的性能异常.

    Abstract:

    This paper proposes a resource-aware performance diagnostic method. For transactions in Web applications, the proposed method constructs performance profile chains based on the resource service time, which is stable for different workload characteristics. According to the anomaly of resource service time at application runtime, the proposed method provides an efficient solution to performance anomaly detection, location and diagnosis. Experimental results show that this method can effectively detect performance anomalies caused by different resource bottlenecks with changing workload characteristics.

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王伟,张文博,魏峻,钟华,黄涛.一种资源敏感的Web应用性能诊断方法.软件学报,2010,21(2):194-208

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  • 收稿日期:2008-06-16
  • 最后修改日期:2009-12-07
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