Exploring Performance Degradation in Virtual Machines Sharing a Cloud Server-Reference-Cited by-同舟云学术

Exploring Performance Degradation in Virtual Machines Sharing a Cloud Server

Published:2023-08-14 Issue:16 Volume:13 Page:9224
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Ahmed Hamza¹,Syed Hassan Jamil¹²³^ORCID,Sadiq Amin¹,Ibrahim Ashraf Osman²⁴^ORCID,Alohaly Manar⁵^ORCID,Elsadig Muna⁵^ORCID

Affiliation:

1. FAST School of Computing, National University of Computer and Emerging Sciences, Karachi 75030, Pakistan

2. Faculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia

3. Cyber Security Research Lab, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia

4. Creative Advanced Machine Intelligence Research Centre, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia

5. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia

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.

Funder

Princess Nourah bint Abdulrahman University Researchers

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

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

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