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Efficient energy use has become a critical issue for designing and managing of cloud data centers. Virtualization is a key technology for reducing energy cost and improving resource utilization in data centers. One of the challenges faced by virtualized data centers is to decide how to pack VMs on the least number of physical machines. This paper presents a VM management framework which is based on...
Cloud data centers consume an enormous amount of energy. Virtual Machine (VM) migration technology can be applied to reduce energy consumption by consolidating VMs onto the minimal number of servers and turn idle servers into power-saving modes. While most existing energy models consider mainly computing energy, an enhanced energy consumption model is formulated, which includes energy consumption...
This paper explores the opportunity for energy cost saving in data centers that utilizes the flexibility from the Service Level Agreements (SLAs) and proposes a novel approach for capacity provisioning under bounded latency requirements of the workload. We investigate how many servers to keep active and how much workload to delay for energy saving while meeting latency constraints. We present an offline...
Virtualization is being widely applied across Information Technology (IT) infrastructure due to its various advantages including efficient resource utilization, ease of management, reduced energy consumption and much more. A Virtual Machine (VM) is a software implementation of a machine that is portable and hardware independent. VM migration improves the performance of the overall system by effectively...
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