Performance issue monitoring, identification and diagnosis of SaaS software:a survey  

作　　者：Rui WANG Xiangbo TIAN Shi YING 

机构地区：[1]College of Mining and Safety Engineering,Shandong University of Science and Technology,Qingdao 266590,China [2]School of Computer Science,Wuhan University,Wuhan 430072,China

出　　处：《Frontiers of Computer Science》2025年第1期71-95,共25页计算机科学前沿(英文版)

基　　金：supported by the National Key R&D Program of China(2022YFB3304300);the Humanities and Social Sciences Youth Foundation,Ministry of Education(23YJCZH221);the Natural Science Foundation of Shandong Province(ZR2023QE030).

摘　　要：SaaS (Software-as-a-Service) is a service model provided by cloud computing. It has a high requirement for QoS (Quality of Software) due to its method of providing software service. However, manual identification and diagnosis for performance issues is typically expensive and laborious because of the complexity of the application software and the dynamic nature of the deployment environment. Recently, substantial research efforts have been devoted to automatically identifying and diagnosing performance issues of SaaS software. In this survey, we comprehensively review the different methods about automatically identifying and diagnosing performance issues of SaaS software. We divide them into three steps according to their function: performance log generation, performance issue identification and performance issue diagnosis. We then comprehensively review these methods by their development history. Meanwhile, we give our proposed solution for each step. Finally, the effectiveness of our proposed methods is shown by experiments.

关 键 词：SaaS software performance log generation performance issue identification performance issue diagnosis 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]