Assessing Power Monitoring Approaches for Energy and Power Analysis of Computers

被引:15
作者
Diouri, Mohammed El Mehdi [1 ]
Dolz, Manuel F. [2 ]
Glueck, Olivier [3 ]
Lefevre, Laurent [3 ]
Alonso, Pedro [4 ]
Catalan, Sandra [5 ]
Mayo, Rafael [5 ]
Quintana-Orti, Enrique S. [5 ]
机构
[1] Inst Super Genie Appl IGA, Casablanca 20300, Morocco
[2] Univ Hamburg, Dept Informat, D-20146 Hamburg, Germany
[3] Univ Lyon, INRIA Avalon Team, LIP Lab, ENS Lyon, F-69364 Lyon 07, France
[4] Univ Politecn Valencia, Dept Sistemas Informat & Comp, E-46022 Valencia, Spain
[5] Univ Jaume 1, Depto Ingn & Ciencia Comp, Castellon de La Plana 12071, Spain
关键词
Wattmeters; Power measurement interfaces; Energy and power analysis; Power profiling; LINEAR ALGEBRA ALGORITHMS;
D O I
10.1016/j.suscom.2014.03.006
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Large-scale distributed systems (e.g., datacenters, HPC systems, clouds, large-scale networks, etc.) consume and will consume enormous amounts of energy. Therefore, accurately monitoring the power dissipation and energy consumption of these systems is more unavoidable. The main novelty of this contribution is the analysis and evaluation of different external and internal power monitoring devices tested using two different computing systems, a server and a desktop machine. Furthermore, we provide experimental results for a variety of benchmarks which intensively exercise the main components (CPU, Memory, HDDs, and NICs) of the target platforms to validate the accuracy of the equipment in terms of power dissipation and energy consumption. On the other hand, we also evaluate three different power measurement interfaces available on current architecture generations. Thanks to the high sampling rate and to the different measured lines, the internal wattmeters allow an improved visualization of some power fluctuations. However, a high sampling rate is not always necessary to understand the evolution of the power consumption during the execution of a benchmark. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:68 / 82
页数:15
相关论文
共 29 条
  • [1] Alonso P., 2012, 2012 41st International Conference on Parallel Processing (ICPP 2012), P420, DOI 10.1109/ICPP.2012.57
  • [2] Energy-efficient execution of dense linear algebra algorithms on multi-core processors
    Alonso, Pedro
    Dolz, Manuel F.
    Mayo, Rafael
    Quintana-Orti, Enrique S.
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2013, 16 (03): : 497 - 509
  • [3] DVFS-control techniques for dense linear algebra operations on multi-core processors
    Alonso, Pedro
    Dolz, Manuel F.
    Igual, Francisco D.
    Mayo, Rafael
    Quintana-Orti, Enrique S.
    [J]. COMPUTER SCIENCE-RESEARCH AND DEVELOPMENT, 2012, 27 (04): : 289 - 298
  • [4] Barrachina S., 2013, 3 INT C SMART GRIDS
  • [5] Automatic detection of power bottlenecks in parallel scientific applications
    Barreda, Maria
    Catalan, Sandra
    Dolz, Manuel F.
    Mayo, Rafael
    Quintana-Orti, Enrique S.
    [J]. COMPUTER SCIENCE-RESEARCH AND DEVELOPMENT, 2014, 29 (3-4): : 221 - 229
  • [6] Bedard D., 2010, P SE C 2010 IEEE CHA
  • [7] Optimizing performance and energy of HPC applications on POWER7
    Brochard, Luigi
    Panda, Raj
    Vemuganti, Sid
    [J]. COMPUTER SCIENCE-RESEARCH AND DEVELOPMENT, 2010, 25 (3-4): : 135 - 140
  • [8] CompatibleOne: Designing an Energy Efficient Open Source Cloud Broker
    Carpentier, Julien
    Gelas, Jean-Patrick
    Lefevre, Laurent
    Morel, Maxime
    Mornard, Olivier
    Laisne, Jean-Pierre
    [J]. SECOND INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING / SECOND INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING AND ITS APPLICATIONS (CGC/SCA 2012), 2012, : 199 - 205
  • [9] Castillo M., 2011, 2011 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, P846, DOI 10.1109/IPDPS.2011.228
  • [10] Demmel J, 2012, UCBEECS2012168