Title: Construction of performance monitoring model for cloud computing service platform based on label technology

Authors: Lishou Zhang; Yiyi Liu; Shaojun Shen

Addresses: Information Transportation Inspection Center, Information and Communication of State Grid Shanghai Municipal Electric Power Company, Shanghai 200000, China ' Information Transportation Inspection Center, Information and Communication of State Grid Shanghai Municipal Electric Power Company, Shanghai 200000, China ' Information Transportation Inspection Center, Information and Communication of State Grid Shanghai Municipal Electric Power Company, Shanghai 200000, China

Abstract: To solve the problems of low service efficiency, large change in total system requests and high blocking probability of the current performance monitoring model for cloud computing service platform, a performance monitoring model for cloud computing service platform based on label technology is proposed. By using the model, the concept and characteristics of cloud computing are analysed, the purpose of performance management and performance monitoring structure of cloud computing service platform are summarised, the service efficiency, time characteristics, resource utilisation and efficiency compliance of cloud computing service platform are evaluated, the structure model of cloud computing service platform is established, and the label technology is introduced, to build the performance monitoring model for cloud computing service platform. Finally, the performance monitoring of cloud computing service platform is realised. The experimental results show that the proposed model has high service efficiency, stable change of the total number of system requests and low blocking probability, which verifies the validity and superiority of the proposed model, and provides a new idea for the development and progress of performance monitoring technology of cloud computing service platform.

Keywords: label technology; cloud computing; service platform; performance monitoring model.

DOI: 10.1504/IJICT.2020.108966

International Journal of Information and Communication Technology, 2020 Vol.17 No.2, pp.178 - 193

Received: 02 May 2019
Accepted: 14 Jul 2019
Published online: 11 Aug 2020 *

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