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New Parallel and Distributed Computing Findings from Technical University Described (Power Consumption Estimation Models for Processors, Virtual...

July 31, 2014



New Parallel and Distributed Computing Findings from Technical University Described (Power Consumption Estimation Models for Processors, Virtual Machines, and Servers)

By a News Reporter-Staff News Editor at Computer Weekly News -- Investigators discuss new findings in Parallel and Distributed Computing. According to news reporting originating in Dresden, Germany, by VerticalNews journalists, research stated, "The power consumption of presently available Internet 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."

The news reporters obtained a quote from the research from Technical University, "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."

According to the news reporters, the research concluded: "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."

For more information on this research see: Power Consumption Estimation Models for Processors, Virtual Machines, and Servers. IEEE Transactions on Parallel and Distributed Systems, 2014;25(6):1600-1614. IEEE Transactions on Parallel and Distributed Systems can be contacted at: Ieee Computer Soc, 10662 Los Vaqueros Circle, PO Box 3014, Los Alamitos, CA 90720-1314, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; IEEE Transactions on Parallel and Distributed Systems - ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=71)

Our news correspondents report that additional information may be obtained by contacting C. Mobius, Technical University of Dresden, Chair Comp Networks, D-01062 Dresden, Germany. Additional authors for this research include W. Dargie and A. Schill.

Keywords for this news article include: Dresden, Germany, Europe, Parallel and Distributed Computing

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Computer Weekly News


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