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خانه علوم کامپیوتر-computer science A Measurement-Based Characterization of the Energy Consumption in Data Center Servers
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A Measurement-Based Characterization of the Energy Consumption in Data Center Servers

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A Measurement-Based Characterization of the Energy Consumption in Data Center Servers

توضیحات محصول

In this work, we present an exhaustive empirical characterization of the power requirements of multiple components
of data center servers. To do so, we devise different experiments to stress these components, taking into account the multiple available frequencies and the fact that we are working with multicore servers. In these experiments, we measure energy consumption of server components and identify their optimal operational points. Our study proves that the curve defining the minimal CPU power utilization, as a function of the load in active cycles per second, is neither concave nor purely convex. Instead, it definitively shows a super-linear dependence on the load. Similarly, we present results on how to improve the efficiency of network cards and disks. Finally, we validate the accuracy of
the model derived from our characterization by comparing the real energy consumed by two Hadoop applications—PageRank and WordCount—with the estimation from our model, obtaining errors below 4.1% on average

INTRODUCTION
C LOUD computing represents the possibility of outsourcing our computational services without incurring amortization costs, scaling up or down the required resources to match the current demand, and in a pay-as-you-go way. However, the cloud has to be physically deployed somewhere. To this purpose we require data centers. Indeed, cloud computing is the main reason why the number of data centers built or being built has skyrocketed during the last years. However, the advantages of cloud computing come at a cost, the huge amount of energy data
centers consume yearly

S:Persian Channel of IEEE ComSoc

Year:2015

By:Jordi Arjona Aroca, Angelos Chatzipapas, Antonio Fernández Anta,and Vincenzo Mancuso

File Information:English Language/15 Page/Size:1.3 M

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منبع:Persian Channel of IEEE ComSoc

سال :2015

کاری از:Jordi Arjona Aroca, Angelos Chatzipapas, Antonio Fernández Anta,and Vincenzo Mancuso

اطلاعات فایل :زبان انگلیسی/15 صفحه/حجم:1.3 M

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