Exploring Performance Degradation in Virtual Machines Sharing a Cloud Server

被引：1
|
作者：
Ahmed, Hamza [1 ]
Syed, Hassan Jamil [1 ,2 ,3 ]
Sadiq, Amin [1 ]
Ibrahim, Ashraf Osman [2 ,4 ]
Alohaly, Manar [5 ]
Elsadig, Muna [5 ]
机构：
[1] Natl Univ Comp & Emerging Sci, FAST Sch Comp, Karachi 75030, Pakistan
[2] Univ Malaysia Sabah, Fac Comp & Informat, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia
[3] Univ Malaysia Sabah, Fac Comp & Informat, Cyber Secur Res Lab, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia
[4] Univ Malaysia Sabah, Fac Comp & Informat, Creat Adv Machine Intelligence Res Ctr, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia
[5] Princess Nourah bint Abdulrahman Univ, Coll Comp & Informat Sci, Dept Informat Syst, POB 84428, Riyadh 11671, Saudi Arabia
来源：
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 16期
关键词：
virtual machines; cloud computing; CPU steal time; performance degradation; cloud monitoring; OpenStack; resource contention; performance metrics; workload management; scalability; performance optimization; ARCHITECTURE; TAXONOMY;
D O I：
10.3390/app13169224
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
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.
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页数：17
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