EARTH: Energy-aware autonomic resource scheduling in cloud computing
EARTH: Energy-aware autonomic resource scheduling in cloud computing
复制标题
EARTH：云计算中的能源感知自主资源调度
DOI：
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发表时间：
2016
影响因子：
2
通讯作者：
Inderveer Chana
中科院分区：
文献类型：
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作者：
Sukhpal Singh;Inderveer Chana
在云计算中，数据中心作为调度资源和托管云应用程序的有效平台而受到欢迎。然而，这些数据中心消耗了大量的能源，这导致了高昂的运营成本，并导致了对环境的碳足迹。因此，需要基于云的能量感知框架，其通过将能量消耗考虑为QoS参数本身来自动调度计算资源。在本文中，我们提出了基于模糊逻辑的能源感知的自主资源调度框架，云计算资源的能源效率调度数据中心。我们已经在基于CloudSim的模拟环境和真实的云环境中评估了所提出的框架。实验结果表明，该框架在资源利用率和能量消耗方面表现更好，沿着其他QoS参数。
In Cloud computing, data centers gain popularity as an effective platform for scheduling of resources and hosting cloud applications. However, tremendous amount of energy is consumed by these data centers which leads to high operational costs and contributes towards carbon footprints to the environment. Therefore, there is need of energy aware cloud based framework which schedules computing resources automatically by considering energy consumption as a QoS parameter itself. In this paper, we present fuzzy logic based energy-aware autonomic resource scheduling framework for cloud for energy efficient scheduling of cloud computing resources in data centers. We have evaluated the proposed framework in CloudSim based simulation environment and real cloud environment. The experimental results show that the proposed framework performs better in terms of resource utilization and energy consumption along with other QoS parameters.