Web服务器优化模型的研究与设计

Xiaoli Guo, Li Feng, Ping Guo
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引用次数: 1

摘要

本文给出了一种新的性能分析方法,即通过马尔可夫链和排队网络模型对Web服务器服务的线程和队列进行建模,计算性能等级系数,将不同的性能测量数据通过归一化积分,并给出直观、定量的结果来匹配最佳的服务器配置参数。并在此基础上设计了一种新的Web服务器优化模型,借助历史经验和反馈机制对Web服务器进行重新配置,实现其性能自适应优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and Design on Web Server Optimization Model
This paper gives a new performance analysis method, which is through the Markov chain and queuing network model for Web server services thread and queue modeling, computing performance level coefficient, the different performance measurement data through the normalized integration, and presents an intuitive, quantitative results to match the best server configuration parameters. And on this basis we design a new Web server optimization model, with the aid of the historical experience and feedback mechanism to reconfigure the Web server and to achieve its performance adaptive optimization.
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