Utility-driven virtual machine allocation in edge cloud environments using a partheno-genetic algori...
Utility-driven virtual machine allocation in edge cloud environments using a partheno-genetic algorithm
About this item
Full title
Author / Creator
Cao, Jie , Zhang, Cuicui , Qi, Ping and Hu, Kekun
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Mobile Edge Computing alleviates network congestion and reduces latency by offloading tasks to the network edge. However, fluctuating Quality of Service (QoS) and service compositions significantly challenge service reliability and utility optimization. To address these challenges, this paper proposes a novel virtual machine allocation framework de...
Alternative Titles
Full title
Utility-driven virtual machine allocation in edge cloud environments using a partheno-genetic algorithm
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_1f374dd32563468ebf869b30e67be44a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1f374dd32563468ebf869b30e67be44a
Other Identifiers
ISSN
2192-113X
E-ISSN
2192-113X
DOI
10.1186/s13677-025-00739-8
