Paper
6 May 2022 Reliability awareness algorithm of IT service management center considering load balancing
Guodong Zhang, Haitao Zhang
Author Affiliations +
Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225620 (2022) https://doi.org/10.1117/12.2636116
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China
Abstract
In order to effectively improve the IT service quality of IT service management center, on the basis of considering load balancing, an IT service quality perception algorithm of IT service management center based on principal component analysis is designed. Based on the analysis of IT service process of IT service management center, the system software module is designed, including information management module, external perception evaluation module, internal perception evaluation module, comprehensive perception evaluation module and perception evaluation result analysis module; In the comprehensive perception evaluation module, the IT service quality perception evaluation system is constructed, the IT service quality perception evaluation indicators are obtained, the IT service quality perception value and the IT user expectation value of the IT system are determined, the principal component analysis method is used to calculate the difference between the IT user expectation value and the actual perception value, and the IT service quality perception evaluation model is constructed, Complete the design of reliability awareness algorithm of IT service management center considering load balancing. The simulation results show that the difference between the evaluation results obtained by the system and the actual survey results is small, and the perceived evaluation effect of IT service quality is good.
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Guodong Zhang and Haitao Zhang "Reliability awareness algorithm of IT service management center considering load balancing", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225620 (6 May 2022); https://doi.org/10.1117/12.2636116
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KEYWORDS
Information technology

Data centers

Reliability

Data storage

Principal component analysis

Data processing

Power supplies

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