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Eleventh International Network Conference (INC 2016)
Title: Towards an Energy Optimization Framework for Cloud Computing Data Centres
Author(s): Samah Alshathri
Keywords: scheduling algorithm; green computing; energy optimization, virtualization, simulation.
Abstract: The cloud computing concept has emerged as a powerful mechanism for data storage by providing a suitable platform of data centers. Recent studies show that the energy consumption of the cloud computing is a key issue. Therefore, it is required to reduce the energy consumption to minimize performance losses, achieve target battery lifetime, satisfy performance requirements, minimize power consumption, minimize the CO2 emissions, maximize the profit, and maximize resource utilization.
In this paper we present a taxonomy of cloud computing environment and energy optimization considerations. Virtualization, migration and task scheduling algorithm are needed for minimizing energy consumption in cloud computing data centers. The mapping process time between the data center servers’ and the incoming tasks will be controlled and optimized by the use of a new idea of scheduling algorithm which will perform an optimal deployment of the data center resources to achieve good computing efficiency, network load minimization and as a result of that reducing the energy consumed in the data centers. The evaluation of schedulers is done using different kinds of simulators that were developed specifically for cloud computing environment.
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