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Cluster Computing
Erschienen in: Cluster Computing 2/2021

09.08.2020

An efficient power-aware VM allocation mechanism in cloud data centers: a micro genetic-based approach

verfasst von: Mehran Tarahomi, Mohammad Izadi, Mostafa Ghobaei-Arani

Erschienen in: Cluster Computing | Ausgabe 2/2021

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Abstract

Efficiency in cloud servers’ power consumption is of paramount importance. Power efficiency makes the reduction in greenhouse gases establishing the concept of green computing. One of the beneficial ways is to apply power-aware methods to decide where to allocate virtual machines (VMs) in data center physical resources. Virtualization is utilized as a promising technology for power-aware VM allocation methods. Since the VM allocation is an NP-complete problem, we use of evolutionary algorithms to solve it. This paper presents an effective micro-genetic algorithm in order to choose suitable destinations between physical hosts for VMs. Our evaluations in simulation environment show that micro-genetic approach provides invaluable improvements in terms of power consumption compared with other methods.
Vorheriger Artikel Multi-criteria HPC task scheduling on IaaS cloud infrastructures using meta-heuristics
Nächster Artikel AutoWM: a novel domain-specific tool for universal multi-/many-core accelerations of the WRF cloud microphysics

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Metadaten
Titel
An efficient power-aware VM allocation mechanism in cloud data centers: a micro genetic-based approach
verfasst von
Mehran Tarahomi
Mohammad Izadi
Mostafa Ghobaei-Arani
Publikationsdatum
09.08.2020
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 2/2021
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-020-03152-9

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