Enhancing Resource Management in Cloud Data Centers Using Energy Aware Approach

سال انتشار: 1396
محل انتشار: سومین کنفرانس ملی محاسبات توزیعی و پردازش داده های بزرگ
کد COI اختصاصی: DCBDP03_050
زبان مقاله: انگلیسی
تعداد مشاهده: 492

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نویسندگان

Hadi Rezai Gezel Haji

Core-Banking Research Group, Informatics Service Corporation, Tehran, Iran

S.Moosa Seyed Alinezhad

Department of Electrical Engineering, Urmia University of Technology, Urmia, Iran.

Omid R. B. Speily

Department of Computer Engineering & Information Technology, Urmia University of Technology, Urmia, Iran

چکیده

Cloud Computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way IT hardware is designed andpurchased. Virtualization technology forms a key concept for new cloud computing architectures. The data centers are used to provide cloud services burdening a significant cost due to highenergy consumption. Data centers are provisioned to accommodate peak demand rather than average demand and cloud applications consume much more electrical energy than they need. Thus, it necessitates that cloud computing solutionsnot only minimize operational costs, but also reduce the power consumption. In this paper, we investigate load balancing and power saving methods in virtualized cloud infrastructures.Imbalanced distribution of workloads across resources can lead to performance degradation and much electrical power consumption in such data centers. We present an architecturalframework and principles for energy-efficient cloud computing environments. Resource provisioning and allocation algorithms, named Load-Power-aware, are proposed in this architecture. Thealgorithm employs a heuristic to dynamically improve the energy efficiency in data center, while guarantees the Quality of Service (QoS). The architecture significantly improves the energy efficiency in a given dynamic scenario.

کلیدواژه ها

Cloud computing, load balancing, power saving, virtualization, live migration

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