Exploring performance degradation in virtual machines sharing a cloud server

Hamza Ahmed and Hassan Jamil Syed and Amin Sadiq and Ashraf Osman Ibrahim Elsayed and Manar Alohaly and Muna Elsadig (2023) Exploring performance degradation in virtual machines sharing a cloud server. Applied Sciences, 13. pp. 1-17. ISSN 2076-3417

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URL: https://www.mdpi.com/2076-3417/13/16/9224

Abstract

Cloud computing has become a leading technology for IT infrastructure, with many companies migrating their services to cloud servers in recent years. As cloud services continue to expand, the issue of cloud monitoring has become increasingly important. One important metric to monitor is CPU steal time, which measures the amount of time a virtual CPU waits for the actual CPU. In this study, we focus on the impact of CPU steal time on virtual machine performance and the potential problems that can arise. We implement our work using an OpenStack-based cloud environment and investigate intrusive and non-intrusive monitoring methods. Our analysis provides insights into the importance of CPU steal time monitoring and its impact on cloud performance.

Item Type:	Article
Keyword:	virtual machines; cloud computing; CPU steal time; performance degradation; cloud monitoring; OpenStack; resource contention; performance metrics; workload management; scalability; performance optimization
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics > TK7885-7895 Computer engineering. Computer hardware
Department:	FACULTY > Faculty of Computing and Informatics
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	09 Feb 2024 15:48
Last Modified:	09 Feb 2024 15:48
URI:	https://eprints.ums.edu.my/id/eprint/38220

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