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Cited by 83 publications
(41 citation statements)
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References 23 publications
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“…Moreover, they focused on the cooling and network structure of cloud data center hosting the physical machines when consolidating VMs. Few racks and routers are employed without compromising the SLA so that idle routing and cooling equipment could be turned off to reduce energy consumption [24]. Zhu et al [25] investigated the dynamic VM consolidation problem and applied a static host CPU utilization threshold of 85%, which is determined if the host is overloaded when CPU utilization threshold exceeded 85%.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, they focused on the cooling and network structure of cloud data center hosting the physical machines when consolidating VMs. Few racks and routers are employed without compromising the SLA so that idle routing and cooling equipment could be turned off to reduce energy consumption [24]. Zhu et al [25] investigated the dynamic VM consolidation problem and applied a static host CPU utilization threshold of 85%, which is determined if the host is overloaded when CPU utilization threshold exceeded 85%.…”
Section: Related Workmentioning
confidence: 99%
“…The suggested framework does not address today's data center power consumption problems. However, Beloglazov et al, (2012) and Esfandiarpoor et al (2013) recommended power aware data center heuristics that reduce carbon dioxide and power consumption. In the work, performance and QoS of a data center were analyzed.…”
Section: Related Workmentioning
confidence: 99%
“…The present study recognizes the problem of dynamic virtual machine Consolidation using virtualization, live migration of VMs from underloaded and overloaded hosts and switching idle nodes to the sleep mode, as a very effective approach for utilizing resources and accessing energy efficient cloud computing data centres [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%