Horri A, Dastghaibyfard Gh
Department of Computer Science & Engineering, College of Electrical and Computer Engineering, Shiraz University, Molla Sadra Avenue, Shiraz 71348 51154, Iran.
ScientificWorldJournal. 2015;2015:724524. doi: 10.1155/2015/724524. Epub 2015 Jan 15.
Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment.
云数据中心消耗大量电能。为了支持绿色云计算,提供商还需要在确保服务质量(QoS)的同时,尽量减少云基础设施的能源消耗。在本研究中,针对云环境,提出了一种适用于虚拟化层分时策略的能耗模型。基于从实际系统获得的结果,在CloudSim模拟器中对分时策略的成本和能源使用进行建模,然后通过不同场景对所提出的模型进行评估。在所提出的模型中,考虑了缓存干扰成本。这些成本基于数据大小。所提出的模型在CloudSim模拟器中实现,相关仿真结果表明能耗可能相当可观,并且会随不同参数(如量子参数、数据大小和主机上的虚拟机数量)而变化。测量结果验证了该模型,并表明在云环境中能耗与服务质量之间存在权衡。此外,测量结果验证了该模型,并表明在云环境中能耗与服务质量之间存在权衡。