Energy efficient virtual machines placement in cloud datacenters using genetic algorithm and adaptive thresholds
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0296399
Abstract: Cloud computing platform provides on-demand IT services to users and advanced the technology. The purpose of virtualization is to improve the utilization of resources and reduce power consumption. Energy consumption is a major issue faced… read more here.
Keywords: energy; placement cloud; cloud; energy consumption ... See more keywords
Network-, Cost-, and Renewable-Aware Ant Colony Optimization for Energy-Efficient Virtual Machine Placement in Cloud Datacenters
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DOI: 10.3390/fi17060261
Abstract: Virtual machine (VM) placement in cloud datacenters is a complex multi-objective challenge involving trade-offs among energy efficiency, carbon emissions, and network performance. This paper proposes NCRA-DP-ACO (Network-, Cost-, and Renewable-Aware Ant Colony Optimization with Dynamic… read more here.
Keywords: machine placement; virtual machine; energy; placement ... See more keywords