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首页> 外文会议>2010 the 5th IEEE Conference on Industrial Electronics and Applications >Using a progressive model for performance diagnosis of distributed system
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Using a progressive model for performance diagnosis of distributed system

机译：使用渐进模型进行分布式系统性能诊断

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摘要

It is important to keep an information system work properly with efficient performance in enterprise environment. The heterogeneous compositions and complex architectures of distributed systems make performance diagnosis difficult. When the system performance goes down, how to find out the root cause of inefficiency is a challenging task. Basically, the performance diagnosis is the iterative processes which should be repeatedly performed until the problem is solved. In this paper, we propose the three-phase progressive model for constructing the performance diagnosis system. The main purpose of our model is to acquire experts' knowledge in performance diagnosis, and transform it into rule bases to perform performance diagnosis and locate the possible issue. By using this model, we further construct a prototype system to assist IT department employees to solve the problem progressively in trouble shooting. Two online systems in enterprise environment are adopted to evaluate the performance of the progressive model. The experimental results show that our prototype system can find out the root cause efficiently when system goes wrong.
机译：在企业环境中，保持信息系统正常运行并保持高效性能非常重要。分布式系统的异构组成和复杂的体系结构使性能诊断变得困难。当系统性能下降时，如何找出效率低下的根本原因是一项具有挑战性的任务。基本上，性能诊断是迭代过程，应重复执行直到问题解决。在本文中，我们提出了用于构建绩效诊断系统的三相渐进模型。我们的模型的主要目的是获取专家在绩效诊断方面的知识，并将其转换成规则库以进行绩效诊断并找出可能的问题。通过使用此模型，我们进一步构建了一个原型系统，以协助IT部门员工逐步解决问题。采用企业环境中的两个在线系统评估渐进模型的性能。实验结果表明，当系统出现故障时，我们的原型系统可以有效地找出根本原因。

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