VM consolidation steps in cloud computing: A perspective review

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dc.authorscopusidWitold Pedrycz / 58861905800
dc.authorwosidWitold Pedrycz / HJZ-2779-2023
dc.contributor.authorRozehkhani, Seyyed Meysam
dc.contributor.authorMahan, Farnaz
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2025-04-18T08:45:12Z
dc.date.available2025-04-18T08:45:12Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractThe proliferation of cloud-based applications, data, and services has significantly transformed digital interactions, driven by the widespread use of powerful smart devices and the expansion of cloud ecosystems. These ecosystems rely on data centers composed of Physical Machines (PMs) and Virtual Machines (VMs). The increasing demand for cloud services has led to extensive use of physical servers, resulting in high energy consumption and inefficient resource utilization. Consequently, optimizing resource allocation and reducing power consumption have become pivotal challenges in data center management. A key strategy to address these challenges is Virtual Machine Consolidation (VMC), which optimizes computing resources by consolidating multiple VMs into fewer PMs. This paper comprehensively reviews the three critical phases involved in VMC: PM detection, VM selection, and VM placement. Through an extensive analysis of literature spanning from 2015 to 2024, this review seeks to provide valuable insights into the current landscape of VMC and its potential ramifications on the performance and sustainability of cloud computing. The main flaw in the articles is that the various authors focused on different assessment metrics when the emphasis should have been on the three primary steps in VMC. The importance of this categorization lies in its ability to provide clarity, organization, and a structured framework for comprehending the intricate landscape of VMC. VMC is a multifaceted undertaking encompassing numerous subtasks. Categorization simplifies this complexity by breaking it down into manageable components. Researchers can address each category individually, potentially leading to more focused and effective solutions. © 2024 Elsevier B.V.
dc.identifier.citationRozehkhani, S. M., Mahan, F., & Pedrycz, W. (2024). VM consolidation steps in cloud computing: A perspective review. Simulation Modelling Practice and Theory, 103034.
dc.identifier.doi10.1016/j.simpat.2024.103034
dc.identifier.issn1569190X
dc.identifier.scopus2-s2.0-85209244525
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.simpat.2024.103034
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6602
dc.identifier.volume138
dc.indekslendigikaynakScopus
dc.institutionauthorPedrycz, Witold
dc.institutionauthoridWitold Pedrycz / 0000-0002-9335-9930
dc.language.isoen
dc.publisherElsevier B.V.
dc.relation.ispartofSimulation Modelling Practice and Theory
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPM Detection
dc.subjectVirtual Machine
dc.subjectVM Consolidation
dc.subjectVM Placement
dc.subjectVM Selection
dc.titleVM consolidation steps in cloud computing: A perspective review
dc.typeArticle

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