Kun Zhu1, Shi Ying1, *, Nana Zhang1, Rui Wang1, Yutong Wu1, Gongjin Lan2, Xu Wang2
CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1161-1185, 2020, DOI:10.32604/cmc.2020.05247
Abstract SaaS software that provides services through cloud platform has been more
widely used nowadays. However, when SaaS software is running, it will suffer from
performance fault due to factors such as the software structural design or complex
environments. It is a major challenge that how to diagnose software quickly and accurately
when the performance fault occurs. For this challenge, we propose a novel performance
fault diagnosis method for SaaS software based on GBDT (Gradient Boosting Decision
Tree) algorithm. In particular, we leverage the monitoring mean to obtain the performance
log and warning log when the SaaS software system runs, and… More >
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