Open AccessA Performance Evaluation Method of Load Balancing Capability in SaaS Layer of Cloud Platform
Author(s) -
Hui Liu,
Zhaocheng Niu,
Tiancheng Wu,
Ji-Xiang Du,
Feng Zhang,
Hongyan Bi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1856/1/012065
Subject(s) - cloud computing , computer science , load balancing (electrical power) , analytic hierarchy process , distributed computing , software as a service , process (computing) , evaluation methods , reliability engineering , operating system , software , engineering , operations research , software development , grid , geometry , mathematics
Cloud platform load balancing has become one of the essential elements in modern cloud platform operations. However, there are still some problems in the evaluation methods of cloud platform load balance, such as unreasonable evaluation indexes and lack of comprehensive evaluation methods. This paper first proposes a performance evaluation method of cloud platform load balancing capabilities. This method analyzes the characteristics of the cloud platform and the actual needs of users, designs and proposes a cloud platform load balancing capability evaluation system, quantitatively analyzes and quantifies specific indexes, and uses the Analytic Hierarchy Process to determine the weight of each index. Finally, we deploy and test our method on the OpenStack cloud platform. Experiments show that the evaluation results of the method proposed in this paper are consistent with the actual results, which verifies the feasibility and rationality of the method proposed in this paper.