Performance optimization of deployed software-as-a-service applications
Performance optimization of deployed software-as-a-service applications
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DOI：
10.1016/j.jss.2013.09.013
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
C. Bezemer;A. Zaidman
中科院分区：
文献类型：
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作者：
C. Bezemer;A. Zaidman
性能维护的目标是在交付后提高软件系统的性能。由于系统的性能通常以度量值的意外组合为特征，因此在复杂系统中很难手动分析性能。在本文中，我们提出了一种方法，帮助性能专家定位和分析可能的性能改进点-所谓的性能改进机会(PIO)。PIO为性能专家提供了一个性能改进的起点，例如，通过精确定位瓶颈组件。该技术使用关联规则和性能计数器的组合来生成规则覆盖矩阵，该矩阵有助于瓶颈检测。在第一个例子中，我们展示了我们的技术在检测PIO发生的时间范围方面是准确的。在第二个例子中，我们证明了我们的方法给出的起点确实是有用的，并帮助性能专家以高精度诊断系统中的瓶颈组件。
The goal of performance maintenance is to improve the performance of a software system after delivery. As the performance of a system is often characterized by unexpected combinations of metric values, manual analysis of performance is hard in complex systems. In this paper, we propose an approach that helps performance experts locate and analyze spots – so called performance improvement opportunities (PIOs) – for possible performance improvements. PIOs give performance experts a starting point for performance improvements, e.g., by pinpointing the bottleneck component. The technique uses a combination of association rules and performance counters to generate the rule coverage matrix, a matrix which assists with the bottleneck detection.In this paper, we evaluate our technique in two case studies. In the first one, we show that our technique is accurate in detecting the time frame during which a PIO occurs. In the second one, we show that the starting point given by our approach is indeed useful and assists a performance expert in diagnosing the bottleneck component in a system with high precision.