ISBN: 978-981-14-4787-7 DOI: 10.18178/wcse.2020.06.038
Adaptive Instrumentation Framework Based on Genetic Algorithm
Abstract— Distributed system monitoring suffer from a serious waste of resources when monitoring target programs to obtain information about program operations. In this paper, a framework for adaptive selection of insertion probe positions based on Genetic Algorithm is designed. The monitoring needs of the data are evaluated by execution time and whether exceptions are reported, and the location of the insertion probes is selected according to the evaluation results. The experimental results show that the method proposed in this paper is superior to Pinpoint in terms of performance and causes less interference to the target program
Index Terms—distributed system monitoring, genetic algorithms, adaptive instrumentation
Zhou Lijuan, Li Xiaoyu, Hu Jianya, Zhang Shudong
Information Engineering College, Capital Normal University, CHINA
Cite:Zhou Lijuan, Li Xiaoyu, Hu Jianya, Zhang Shudong , "Adaptive Instrumentation Framework Based on Genetic Algorithm" Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering (WCSE 2020), pp. 246-251, Shanghai, China, 19-21 June, 2020.