Exploring performance degradation in virtual machines sharing a cloud server
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 ti...
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MDPI AG, Basel, Switzerland
2023
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Online Access: | https://eprints.ums.edu.my/id/eprint/38220/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38220/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38220/ https://doi.org/10.3390/app13169224 |
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my.ums.eprints.382202024-02-09T07:48:27Z https://eprints.ums.edu.my/id/eprint/38220/ Exploring performance degradation in virtual machines sharing a cloud server Hamza Ahmed Hassan Jamil Syed Amin Sadiq Ashraf Osman Ibrahim Elsayed Manar Alohaly Muna Elsadig TK1-9971 Electrical engineering. Electronics. Nuclear engineering TK7885-7895 Computer engineering. Computer hardware 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. MDPI AG, Basel, Switzerland 2023 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/38220/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/38220/2/FULL%20TEXT.pdf 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 https://doi.org/10.3390/app13169224 |
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TK1-9971 Electrical engineering. Electronics. Nuclear engineering TK7885-7895 Computer engineering. Computer hardware Hamza Ahmed Hassan Jamil Syed Amin Sadiq Ashraf Osman Ibrahim Elsayed Manar Alohaly Muna Elsadig Exploring performance degradation in virtual machines sharing a cloud server |
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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. |
format |
Article |
author |
Hamza Ahmed Hassan Jamil Syed Amin Sadiq Ashraf Osman Ibrahim Elsayed Manar Alohaly Muna Elsadig |
author_facet |
Hamza Ahmed Hassan Jamil Syed Amin Sadiq Ashraf Osman Ibrahim Elsayed Manar Alohaly Muna Elsadig |
author_sort |
Hamza Ahmed |
title |
Exploring performance degradation in virtual machines sharing a cloud server |
title_short |
Exploring performance degradation in virtual machines sharing a cloud server |
title_full |
Exploring performance degradation in virtual machines sharing a cloud server |
title_fullStr |
Exploring performance degradation in virtual machines sharing a cloud server |
title_full_unstemmed |
Exploring performance degradation in virtual machines sharing a cloud server |
title_sort |
exploring performance degradation in virtual machines sharing a cloud server |
publisher |
MDPI AG, Basel, Switzerland |
publishDate |
2023 |
url |
https://eprints.ums.edu.my/id/eprint/38220/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38220/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38220/ https://doi.org/10.3390/app13169224 |
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1792152912718200832 |
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13.211869 |