2019
DOI: 10.1016/j.eswa.2018.11.029
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An Ant Colony System for energy-efficient dynamic Virtual Machine Placement in data centers

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Cited by 104 publications
(55 citation statements)
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“…Finally, actuation phase is to carry out VM migration and the turning on or off of the respective physical host(s). The author in [14] improves previous result by incorporating even more useful information into the profile-based dynamic VM placement algorithm that enables updating VMs profiles dynamically at each time interval by removing the expired VMs and adding the incoming one. Then, it invokes FFD during each interval to obtain all active PMs.…”
Section: Bin-packing Techniquementioning
confidence: 77%
“…Finally, actuation phase is to carry out VM migration and the turning on or off of the respective physical host(s). The author in [14] improves previous result by incorporating even more useful information into the profile-based dynamic VM placement algorithm that enables updating VMs profiles dynamically at each time interval by removing the expired VMs and adding the incoming one. Then, it invokes FFD during each interval to obtain all active PMs.…”
Section: Bin-packing Techniquementioning
confidence: 77%
“…A modified genetic algorithm is proposed by generating an initial population with the Max-Min approach to get a better makespan [16]. A new heuristic embedded with the ant colony is proposed to reduce energy consumption [17]. The nature of the harmony search algorithm adopts itself to suit both discrete and continuous variable problems [18].…”
Section: Related Workmentioning
confidence: 99%
“…This is due to provisioning resources based on peak load characteristics of that application in order to guarantee the performance. Moreover, as mentioned in Buyya et al, an average data center consumes energy approximately equal to 25 000 households, and this trend is increasing dramatically while server nodes only utilize 10% to 15% of their full capacity most of the time . This extreme soaring energy consumption is due to utilizing the number of computing resources and the inefficient usage of resources .…”
Section: Introductionmentioning
confidence: 99%