云应用性能优化的多目标差分进化优化方法

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Cognitive Informatics and Natural Intelligence Pub Date : 2021-10-01 DOI:10.4018/ijcini.295808

Xin Du, Youcong Ni, Peng Ye, Ruliang Xiao

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引用次数: 0

摘要

现有的云应用软件架构(SAoCA)级性能优化方法由于搜索空间有限，难以获得性价比最优的云资源使用方案。针对这一问题，本文首先定义了一种能够有效扩大搜索空间的性能优化模型CAPOM。其次，通过定义具有策略池和修复机制的进化算子，提出了一种高效的差分进化优化算法MODE4CA来求解CAPOM模型;此外，还导出了一种在SAoCA级别上优化性能的方法，称为POM4CA。最后，选取两个不同规模的问题实例进行实验，将POM4CA与当前代表性方法在轻负荷和重负荷下进行比较。实验结果表明，POM4CA方法可以获得更好的响应时间和更少的云资源成本。

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A Multi-Objective Differential Evolutionary Optimization Method for Performance Optimization of Cloud Application

Due to the limited search space in the existing performance optimization ap-proaches at software architectures of cloud applications (SAoCA) level, it is difficult for these methods to obtain the cloud resource usage scheme with optimal cost-performance ratio. Aiming at this problem, this paper firstly de-fines a performance optimization model called CAPOM that can enlarge the search space effectively. Secondly, an efficient differential evolutionary op-timization algorithm named MODE4CA is proposed to solve the CAPOM model by defining evolutionary operators with strategy pool and repair mechanism. Further, a method for optimizing performance at SAoCA level, called POM4CA is derived. Finally, two problem instances with different sizes are taken to conduct the experiments for comparing POM4CA with the current representative method under the light and heavy workload. The ex-perimental results show that POM4CA method can obtain better response time and spend less cost of cloud resources.

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来源期刊

International Journal of Cognitive Informatics and Natural Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

2.00

自引率

11.10%

发文量

期刊介绍： The International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) encourages submissions that transcends disciplinary boundaries, and is devoted to rapid publication of high quality papers. The themes of IJCINI are natural intelligence, autonomic computing, and neuroinformatics. IJCINI is expected to provide the first forum and platform in the world for researchers, practitioners, and graduate students to investigate cognitive mechanisms and processes of human information processing, and to stimulate the transdisciplinary effort on cognitive informatics and natural intelligent research and engineering applications.