Research Article
Service Performance Analysis of Cloud Computing Server by Queuing System
@INPROCEEDINGS{10.1007/978-3-030-99203-3_3, author={Ruijuan Wang and Guangjun Zai and Yan Liu and Haibo Pang}, title={Service Performance Analysis of Cloud Computing Server by Queuing System}, proceedings={Mobile Computing, Applications, and Services. 12th EAI International Conference, MobiCASE 2021, Virtual Event, November 13--14, 2021, Proceedings}, proceedings_a={MOBICASE}, year={2022}, month={3}, keywords={queuing system Cloud computing Performance analysis Response time}, doi={10.1007/978-3-030-99203-3_3} }- Ruijuan Wang
Guangjun Zai
Yan Liu
Haibo Pang
Year: 2022
Service Performance Analysis of Cloud Computing Server by Queuing System
MOBICASE
Springer
DOI: 10.1007/978-3-030-99203-3_3
Abstract
Performance analysis of cloud computing server provides the basis for ensuring Quality of Service (QoS), and the service strategy of server will directly affect the analysis of performance indicators. The performance indicators of QoS are usually defined in the form of Service Layer Agreement (SLA), such as the average response time, the average queue length, immediate service probability and so on. In this work, Service performance analysis models based on(Geo/G/1)queuing system and queuing system with the vacation of the server are proposed. In these models, we analyze the main performance indicators of cloud computing server for the different parameters: the time between arrive of the task, the time of service, and the time of the provision of vacation. Furthermore, we discuss the optimizing concurrent number of the cloud computing.
