标题:Model construction and data management of running log in supporting saas software performance analysis
作者:Wang, Rui ;Ying, Shi ;Sun, Chengai ;Wan, Hongyan ;Zhang, Huolin ;Jia, Xiangyang
作者机构:[Wang, Rui ;Ying, Shi ;Wan, Hongyan ;Zhang, Huolin ;Jia, Xiangyang ] State Key Lab of Software Engineering, Wuhan University, Wuhan; 430072, China;[Su 更多
会议名称:29th International Conference on Software Engineering and Knowledge Engineering, SEKE 2017
会议日期:July 5, 2017 - July 7, 2017
来源:Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
出版年:2017
页码:149-154
DOI:10.18293/SEKE2017-128
摘要:Changes in operating environment may result in the performance degradation to a SaaS software. Analyzing running log is an efficient method to locate this problem. However, as a long-running software, SaaS may generate huge log data which is difficult to analyze, and it lacks a systematic approach to implement management of the running log. These all threaten the timeliness of SaaS performance analysis. In this paper, we define a log format to standardize multi-source heterogeneous log data and construct a log model to support SaaS software performance analysis, where the two performance metrics of average response time and request timeout rate in the model are calculated by statistical measurement. Furthermore, a log management framework is given to support real-Time big log data collection, access, calculation, storage and service, and the technology implementation of the framework is also given. Finally, a case study is given to illustrate and validate the effectiveness of the approach.
收录类别:EI
资源类型:会议论文
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