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EQUAL: ENERGY AND QOS AWARE RESOURCE ALLOCATION APPROACH FOR CLOUDS

机译:均等:云的能源和QOS资源分配方法

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摘要

The popularity of cloud computing is increasing by leaps and bounds. To cope with resource demands of increasing number of cloud users, the cloud market players establish large sized data centers. The huge energy consumption by the data centers and liability of fulfilling Quality of Service (QoS) requirements of the end users have made resource allocation a challenging task. In this paper, energy and QoS aware resource allocation approach which employs Antlion optimization for allocation of resources to virtual machines (VMs) is proposed. It can operate in three modes, namely power aware, performance aware, and balanced mode. The proposed approach enhances energy efficiency of the cloud infrastructure by improving the utilization of resources while fulfilling QoS requirements of the end users. The proposed approach is implemented in CloudSim. The simulation results have shown improvement in QoS and energy efficiency of the cloud.
机译:云计算的普及正在突飞猛进。为了应对不断增长的云用户数量的资源需求,云市场参与者建立了大型数据中心。数据中心的巨大能耗以及满足最终用户的服务质量(QoS)要求的责任使资源分配成为一项艰巨的任务。本文提出了能源和QoS感知资源分配方法,该方法采用Antlion优化将资源分配给虚拟机(VM)。它可以在三种模式下运行,即功耗感知,性能感知和平衡模式。所提出的方法通过提高资源利用率同时满足最终用户的QoS要求来提高云基础架构的能源效率。提议的方法在CloudSim中实现。仿真结果表明云的QoS和能源效率得到了改善。

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