Hamza Ahmed
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Hamza Ahmed has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Amin Sadiq
FAST School of Computing, National University of Computer and Emerging Sciences, Karachi 75030, Pakistan
1 shared publication - Ashraf Osman Ibrahim
Department of Computing, Universiti Teknologi Petronas, Ipoh, Malaysia
1 shared publication - Hassan Jamil Syed
Asia Pacific University of Technology and Innovation (APU), Kuala Lumpur, Malaysia
1 shared publication - Manar Alohaly
Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
1 shared publication - Muna Elsadig
Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
1 shared publication
Latest Publications
- Open Access
- 14 August 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (16) , 9224
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 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.
- 14 August 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (16) , 9224
Open AccessExploring 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 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.