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Cluster Computing
Erschienen in: Cluster Computing 4/2020

11.12.2019

Bio-inspired virtual machine placement schemes in cloud computing environment: taxonomy, review, and future research directions

verfasst von: Mohammad Masdari, Sasan Gharehpasha, Mostafa Ghobaei-Arani, Vafa Ghasemi

Erschienen in: Cluster Computing | Ausgabe 4/2020

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Abstract

Energy efficiency is one of the important issues in green cloud data centers (DCs). In this context, a virtual machine (VM) placement is one of the important techniques which can be used to achieve energy efficiency in such environments. Bio-inspired optimization algorithms are widely used in the literature to solve the VM placement (VMP) problem and different types of them are benefited to achieve energy efficiency while meeting Quality of Service (QoS) and user-specified constraints such as deadlines and cost. This paper presents a comprehensive survey and taxonomy of the bio-inspired VMP schemes. For this purpose, we first provide the essential concepts regarding the VMP and describe various objectives and factors which can be considered in this process. Then, we provide a taxonomy of VMP schemes regarding their applied optimization algorithms and compare their employed factors in the VMP process as well as simulator environments and the metrics which have been utilized in the verification of the investigated VMP frameworks. Finally, the concluding remarks and future researches directions are provided.
Vorheriger Artikel Private computation of the Schulze voting method over the cloud
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Metadaten
Titel
Bio-inspired virtual machine placement schemes in cloud computing environment: taxonomy, review, and future research directions
verfasst von
Mohammad Masdari
Sasan Gharehpasha
Mostafa Ghobaei-Arani
Vafa Ghasemi
Publikationsdatum
11.12.2019
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 4/2020
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-019-03026-9

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