Energy-efficient Allocation of Real-time Virtual Machines in Cloud Data Centers Using Interval-packing Techniques
One of the key issues for large-scale Cloud applications is the reduction of power consumption, which can decrease the operation costs of Cloud providers and increase the working lifetime of a machine, as well as reduce the environmental impact caused by power consumption. In Cloud data centers, Virtual Machines (VMs) as resources (Infrastructure as a Service (IaaS)) can be dynamically allocated to different customers to meet their application goals. In this chapter, with the providers’ goal of reducing power consumption, we investigate the energy-efficient scheduling of real-time VMs by considering fixed processing intervals. In ...
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