| 本文已被：浏览 5193次 下载 9528次 |
码上扫一扫！ |
|
|
| 面向性能剖析的Web 应用自动性能建模方法 |
|
黄翔1,2,3,4, 王伟1,4, 张文博1, 魏峻1,2, 黄涛1,2
|
|
1.中国科学院 软件研究所 软件工程技术研究开发中心, 北京 100190;2.中国科学院 软件研究所 计算机科学重点实验室, 北京 100190;3.中国科学院 研究生院, 北京 100049;4.武汉大学 软件工程国家重点实验室, 湖北 武汉 430072
|
|
| 摘要: |
| 提出了一种面向性能剖析的Web 应用自动性能建模方法.该方法考虑了用户行为与系统中不同服务之间的关联,动态地构造与应用实际状态相符的性能模型,并利用Kalman 滤波所具备的过滤“噪声”和适应变化的特性,精确估算各服务所需CPU 时间.实验结果表明,该方法可以适应Web 应用内、外部环境的变化,分析结果可为瓶颈定位和容量规划等性能保障技术提供高质量数据. |
| 关键词: Web 应用 性能剖析 性能建模 Kalman 滤波 |
| DOI：10.3724/SP.J.1001.2012.04027 |
| 分类号: |
| 基金项目:国家自然科学基金(61100068); 国家重点基础研究发展计划(973)(2009CB320704); 核高基重大专项(2009ZX01043-001-05, 2009ZX01043-003-001, 2010ZX01045-001-010-4); 武汉大学软件工程国家重点实验室开放基金(SKLSE20100821) |
|
| Automatic Performance Modeling Approach to Performance Profiling of Web Applications |
|
HUANG Xiang1,2,3, WANG Wei1,4, ZHANG Wen-Bo1, WEI Jun1,2, HUANG Tao1,2
|
|
1.Technology Center of Software Engineering, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;2.Key Laboratory of Computer Sciences, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;3.Graduate Universi;4.State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China
|
| Abstract: |
| This paper proposes an automatic performance modeling approach for performance profiling of Web applications. In addition, the study proposes an automatic approach to build performance model. Both the user behaviors and their corresponding internal service relations are modeled, and the CPU time consumed by each service is also obtained through Kalman filter, which can “absorb” some level of noise in real-world data. Experimental results show that this approach can adapt to the change in both the inner and outer environments of Web applications and provide valuable information for capacity planning and bottleneck detection. |
| Key words: Web application performance profiling performance modeling Kalman filter |
