Research on cloud service quality control implementation based on improved load balance algorithm

Article type: Research Article

Authors: Yang, Zhexi^a | Zhang, Suyin^a | Ji, Xiaoye^b | Liu, Xin^{a; *}

Affiliations: [a] China Jiliang University, Hangzhou 310018, Zhejiang, China | [b] Zhejiang University of Finance and Economics, Hangzhou 310018, Zhejiang, China

Correspondence: [*] Corresponding author: Xin Liu, China Jiliang University, Hangzhou 310018, Zhejiang, China. Tel.: +86 15168215953; E-mail: liuxin@cjlu.edu.cn.

Abstract: The improvement of load balance scheduling algorithm is an effective means to realize an optimal scheduling of cloud computing service. This paper analyzes the existing load balance scheduling algorithm and proposes that the key to cloud service quality lies in the control of response time. Therefore, the direct algorithms are superior than intelligence algorithms. In this article, the advantages and disadvantages of Throttled algorithm, Throttled algorithm and Active Monitoring algorithm are compared. On this basis, the system response time is taken as a basis of improving the scheduling algorithm, and a stateful composite weight improvement algorithm is proposed.

Keywords: Cloud service, load balance, composite weight algorithm, dynamic composite weight algorithm

DOI: 10.3233/JCM-180830

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 18, no. 3, pp. 793-800, 2018