NDLI: A measurement-based analysis of the energy consumption of data center servers

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A measurement-based analysis of the energy consumption of data center servers

Content Provider	ACM Digital Library
Author	Arjona Aroca, Jordi Chatzipapas, Angelos Mancuso, Vincenzo Fernández Anta, Antonio
Abstract	Energy consumption is a growing issue in data centers, impacting their economic viability and their public image. In this work we empirically characterize the power and energy consumed by different types of servers. In particular, in order to understand the behavior of their energy and power consumption, we perform measurements in different servers. In each of them, we exhaustively measure the power consumed by the CPU, the disk, and the network interface under different configurations, identifying the optimal operational levels. One interesting conclusion of our study is that the curve that defines the minimal CPU power as a function of the load is neither linear nor purely convex as has been previously assumed. Moreover, we find that the efficiency of the various server components can be maximized by tuning the CPU frequency and the number of active cores as a function of the system and network load, while the block size of I/O operations should be always maximized by applications. We also show how to estimate the energy consumed by an application as a function of some simple parameters, like the CPU load, and the disk and network activity. We validate the proposed approach by accurately estimating the energy of a map-reduce computation in a Hadoop platform.
Starting Page	63
Ending Page	74
Page Count	12
File Format	PDF
ISBN	9781450328197
DOI	10.1145/2602044.2602061
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-06-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Measurements Network Cpu Disk i/o Dvfs Power and energy consumption
Content Type	Text
Resource Type	Article

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