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Research on virtual machine consolidation strategy based on combined prediction and energy-aware in...

Research on virtual machine consolidation strategy based on combined prediction and energy-aware in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1e5a64cfcc5140b49c9e338a93a73bfe

Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform

About this item

Full title

Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Journal of Cloud Computing, 2022-12, Vol.11 (1), p.1-18, Article 50

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

In the era of information explosion, the energy consumption of cloud data centers is significant. It’s critical to reduce the energy consumption of large-scale data centers while guaranteeing quality of service (QoS), especially the energy consumption of video cloud computing platforms. The application of virtual machine (VM) consolidation has been...

Alternative Titles

Full title

Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1e5a64cfcc5140b49c9e338a93a73bfe

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1e5a64cfcc5140b49c9e338a93a73bfe

Other Identifiers

ISSN

2192-113X

E-ISSN

2192-113X

DOI

10.1186/s13677-022-00309-2

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