Enhancing Energy Efficiency in Resource Allocation for Real-Time Cloud Services
Paper ID : 1355-IST
Zahra Bagheri *, Kamran Zamanifar
Department of Computer Engineering
Faculty of Engineering
University of Isfahan
Improving energy efficiency is a multidimensional challenge regarding cloud computing environments management, which can directly reduce the operating costs and carbon dioxide emissions, while increasing the system reliability. An energy-efficient resource allocation approach for real-time cloud services is proposed in this paper. Several policies for provisioning of virtual machines (VMs) and hosts for the purpose of minimizing energy consumption and deadline miss rate are presented here. Resource allocation is optimized in order to increase the acceptance rate of real-time tasks through VM scaling and migration. This proposed algorithm significantly reduces energy consumption, and guarantees the timing constraints of tasks in an effective manner.
Cloud Computing; Energy Efficiency; Resource Allocation; Real-Time Services