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Power Consumption Estimation Models for Processors, Virtual Machines, and Servers (2012)
| Citations: | 1 - 0 self |
BibTeX
@MISC{Möbius12powerconsumption,
author = {Christoph Möbius and Waltenegus Dargie and Alexander Schill},
title = { Power Consumption Estimation Models for Processors, Virtual Machines, and Servers},
year = {2012}
}
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Abstract
The power consumption of presently available Inter-net servers and data centers is not proportional to the work they accomplish. The scientific community is attempting to address this problem in a number of ways, for example, by employing dynamic voltage and frequency scaling, selectively switching off idle or underutilized servers, and employing energy-aware task scheduling. Central to these approaches is the accurate estimation of the power consumption of the various subsystems of a server, particularly, the processor. We distinguish between power consumption measurement techniques and power consumption estimation models. The techniques refer to the art of instrumenting a system to measure its actual power consumption whereas the estimation models deal with indirect evidences (such as information pertaining to CPU utilization or events captured by hardware performance counters) to reason about the power consumption of a system under consideration. The paper provides a comprehensive survey of existing or proposed approaches to estimate the power consumption of single-core as well as multicore processors, virtual machines, and an entire server.
Keyphrases
power consumption virtual machine consumption estimation model energy-aware task scheduling estimation model available inter-net server cpu utilization entire server power consumption es-timation dynamic voltage accurate estimation power con-sumption estimation model processor power consumption virtual machine power consumption frequency scaling power consumption measurement technique actual power consumption index term power consumption model indirect evidence hardware performance counter underutilized server data center comprehensive survey scientific community multicore processor various subsystem
