Perspective of virtual machine consolidation in cloud computing: a systematic survey
Virtual Machine Consolidation (VMC) in cloud computing refers to the process of optimizing resource utilization by consolidating multiple Virtual Machines (VMs) onto fewer physical servers. This approach aims to maximize the efficiency of resource allocation, reduce operational costs, and enhance ov...
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2-s2.0-85196277593 Zou J.; Wang K.; Zhang K.; Kassim M. Perspective of virtual machine consolidation in cloud computing: a systematic survey 2024 Telecommunication Systems 87 2 10.1007/s11235-024-01184-9 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196277593&doi=10.1007%2fs11235-024-01184-9&partnerID=40&md5=36e6a74c19ca04b4e388cbd7212fbf16 Virtual Machine Consolidation (VMC) in cloud computing refers to the process of optimizing resource utilization by consolidating multiple Virtual Machines (VMs) onto fewer physical servers. This approach aims to maximize the efficiency of resource allocation, reduce operational costs, and enhance overall system performance. In general, effective VMC remains a cornerstone of efficient cloud infrastructure management, balancing resource efficiency with operational complexities to deliver reliable and cost-effective services. In this paper, we undertake a systematic survey of the essential steps in VMC within cloud computing environments. We focus on three critical phases: Physical Machines (PMs) detection, VMs selection, and VMs placement. The review comprehensively explores various aspects of VMC in cloud computing, including motivations, benefits, techniques, challenges, limitations, and applications. It also delves into the techniques and algorithms used for VMC, providing insights into state-of-the-art approaches. Meanwhile, the paper serves as a valuable resource for researchers interested in VMC, and provides a foundation for future research endeavors. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer 10184864 English Article |
author |
Zou J.; Wang K.; Zhang K.; Kassim M. |
spellingShingle |
Zou J.; Wang K.; Zhang K.; Kassim M. Perspective of virtual machine consolidation in cloud computing: a systematic survey |
author_facet |
Zou J.; Wang K.; Zhang K.; Kassim M. |
author_sort |
Zou J.; Wang K.; Zhang K.; Kassim M. |
title |
Perspective of virtual machine consolidation in cloud computing: a systematic survey |
title_short |
Perspective of virtual machine consolidation in cloud computing: a systematic survey |
title_full |
Perspective of virtual machine consolidation in cloud computing: a systematic survey |
title_fullStr |
Perspective of virtual machine consolidation in cloud computing: a systematic survey |
title_full_unstemmed |
Perspective of virtual machine consolidation in cloud computing: a systematic survey |
title_sort |
Perspective of virtual machine consolidation in cloud computing: a systematic survey |
publishDate |
2024 |
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Telecommunication Systems |
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87 |
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2 |
doi_str_mv |
10.1007/s11235-024-01184-9 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196277593&doi=10.1007%2fs11235-024-01184-9&partnerID=40&md5=36e6a74c19ca04b4e388cbd7212fbf16 |
description |
Virtual Machine Consolidation (VMC) in cloud computing refers to the process of optimizing resource utilization by consolidating multiple Virtual Machines (VMs) onto fewer physical servers. This approach aims to maximize the efficiency of resource allocation, reduce operational costs, and enhance overall system performance. In general, effective VMC remains a cornerstone of efficient cloud infrastructure management, balancing resource efficiency with operational complexities to deliver reliable and cost-effective services. In this paper, we undertake a systematic survey of the essential steps in VMC within cloud computing environments. We focus on three critical phases: Physical Machines (PMs) detection, VMs selection, and VMs placement. The review comprehensively explores various aspects of VMC in cloud computing, including motivations, benefits, techniques, challenges, limitations, and applications. It also delves into the techniques and algorithms used for VMC, providing insights into state-of-the-art approaches. Meanwhile, the paper serves as a valuable resource for researchers interested in VMC, and provides a foundation for future research endeavors. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. |
publisher |
Springer |
issn |
10184864 |
language |
English |
format |
Article |
accesstype |
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record_format |
scopus |
collection |
Scopus |
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1812871793489215488 |