標題: Automatic cloud service testing and bottleneck detection system with scaling recommendation
作者: Liu, Xiaolong
Sheu, Ruey-Kai
Lo, Win-Tsung
Yuan, Shyan-Ming
資訊工程學系
Department of Computer Science
關鍵字: automatic testing;bottleneck detection;cloud computing;quality of service (QoS);scaling
公開日期: 10-Jan-2020
摘要: Performance problems in a cloud service are difficult to diagnose because they may be caused by various system components. This study proposes an automatic cloud service testing and bottleneck detection system that is applicable to different types of services. With the proposed test module, the user can customize test scenarios to automatically test and collect the corresponding metrics of the target service. Afterward, the proposed bottleneck detection algorithm analyzes the collected metrics and determines whether a bottleneck is presented in the target system. The bottleneck detection module also provides a scaling recommendation for the service provider to facilitate the service system reconfiguration. The experimental results reveal that the proposed system could detect a potential bottleneck in a service system accurately. In accordance with the scaling recommendation, the performance of the target cloud service can be improved efficiently after reconfiguration. Therefore, usage of the proposed system can ensure a high quality of service, and the service level objective could be fulfilled.
URI: http://dx.doi.org/10.1002/cpe.5161
http://hdl.handle.net/11536/153877
ISSN: 1532-0626
DOI: 10.1002/cpe.5161
期刊: CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Volume: 32
Issue: 1
起始頁: 0
結束頁: 0
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