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Energy efficient utilization of cloud resources using hybrid ant colony genetic algorithm for a sustainable green cloud environment

机译:利用混合蚁群遗传算法高效利用云资源,实现可持续的绿色云环境

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摘要

Nowadays the Cloud computing services are proliferation. The Cloud computing resources face major pitfall in energy consumes. The prime of energy consumption in cloud computing is by means of client computational devices, server computational devices, network computational devices and power required to cool the IT load. The cloud resources contribute high operational energy cost and emit more carbon emission to the environment. Therefore the cloud services providers need green cloud environment resolution to decrease the operational energy cost along with environmental impact. The major objective of this work is to trim down the energy from utilized and unutilized (idle) cloud resources and save the energy in cloud resources efficiently. To achieve the sustainable green cloud environment from a Hybrid Ant colony Genetic Algorithm used in this paper which chooses the appropriate virtual services so that the power at the client, server and network recourses can be reduced.
机译:如今,云计算服务正在蓬勃发展。云计算资源在能耗方面面临重大陷阱。云计算中能源消耗的主要来源是客户端计算设备,服务器计算设备,网络计算设备以及冷却IT负载所需的电源。云资源造成了较高的运营能源成本,并向环境排放了更多的碳。因此,云服务提供商需要绿色云环境解决方案,以降低运营能源成本以及环境影响。这项工作的主要目的是减少已利用和未利用(空闲)的云资源的能量,并有效地将能量节省在云资源中。为了通过本文中使用的混合蚁群遗传算法来实现可持续的绿色云环境,该算法选择了合适的虚拟服务,从而可以减少客户端,服务器和网络资源的功耗。

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