基于用户体验的计算系统多元性能评价模型  

Multi-factor Performance Evaluation Model of Computing System Based on User Feeling

作　　者：游静[1] 董小龙[1] 苏兵[1] 孙玉强[1] 

机构地区：[1]常州大学信息科学与工程学院,常州213164

出　　处：《计算机科学》2012年第10期254-257,共4页Computer Science

基　　金：江苏省自然科学基金项目(BK2009535);江苏省高校自然科学基金项目(07KJB520022);常州市青年人才基金项目(CQ20100007)资助

摘　　要：传统的性能监控系统通过监控系统资源的使用情况来间接地反映和评价系统的运行状态,但是该方法与用户感知的系统性能有较大出入。对于终端用户,其最直接的体验就是请求的响应时间,它受系统运行过程中多种因素的综合影响。基于基因表达式编程理论,提出了一种对计算系统性能进行多元评价的基因表达式编程算法,其通过对多种系统资源数据的分析,建立响应时间对多种系统资源的数学模型,以此预测系统性能的变化。最后,针对具体的仿真环境和采样数据,采用该算法获得了响应时间的多元非线性模型。结果表明,该模型能较好地预测系统的性能变化情况。Traditional performance monitoring system monitors system resources to reflect and evaluate the system running state indirectly.But this method has greater difference to the system performance perceived by user.For end-users,the direct experience to the system performance is the response time of the request,which is affected by many factors.Based on gene expression programming theory,a gene expression programming（GEP） algorithm was proposed in the paper.Using GEP algorithm,a mathematical model（GEP model） between response time and a variety of system resources was established to evaluate the computing system performance and predict the performance changes.Finally,for specific simulation environment and sampling data,the algorithm was used to obtain the multi-nonlinear model about response time and the results show that the model can better predict the system performance.

关 键 词：性能评价 性能监控 基因表达式编程 软件抗衰 

分 类 号：TP302.7[自动化与计算机技术—计算机系统结构]