Cluster Computing

, Volume 16, Issue 1, pp 1–1 | Cite as

Special issue on energy-aware computing and communications

  • Lizhe WangEmail author
  • Samee U. Khan
  • Laurence T. Yang
  • Feng Xia

Nowadays, high-end computing facilities can consume a very large amount of power albeit they provide high performance computing solutions for scientific and engineering applications. Energy consumption for high-end facilities thus contributes to a significant electric bill. Additionally, high power consumption in general results in higher cooling costs. Furthermore, to allow computing facilities to operate on high power for a long time will lead to high temperature of computing systems, which further harms a system’s reliability and availability. Therefore, reducing power consumption for high end computing becomes a critical research topic.

This special issue is devoted to the state-of-the-art research in the field of energy-aware high-end computing. A number of high quality research articles were submitted. We (the guest editors) had a very difficult decision to make on the inclusion and exclusion of research articles. Because of the space constraints, we could only include the following eight outstanding research articles:
  • An overview of energy efficiency techniques in cluster computing systems

  • Classified power capping by network distribution trees for green computing

  • Imbalance of CPU temperatures in a blade system and its impact for power consumption of fans

  • Towards energy-efficient parallel analysis of neural signals

  • CHERUB: power consumption aware cluster resource management

  • DENS: data center energy-efficient network-aware scheduling

  • Energy cost evaluation of parallel algorithms for multiprocessor systems

  • Parallel application-level behavioral attributes for performance and energy management of high-performance computing systems

Guest Editors

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Lizhe Wang
    • 1
    Email author
  • Samee U. Khan
    • 2
  • Laurence T. Yang
    • 3
  • Feng Xia
    • 4
  1. 1.Center for Earth Observation and Digital EarthChinese Academy of ScienceBeijingP.R. China
  2. 2.Department of Electrical and Computer EngineeringNorth Dakota State UniversityFargoUSA
  3. 3.Department of Computer ScienceSt. Francis Xavier UniversityAntigonishCanada
  4. 4.School of SoftwareDalian University of TechnologyDalianP.R. China

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