• DocumentCode
    2062016
  • Title

    Energy Efficient Resource Allocation in Large Scale Distributed Systems

  • Author

    Lee, Young Choon ; Zomaya, Albert Y.

  • Author_Institution
    Centre for Distrib. & High Performance Comput., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    580
  • Lastpage
    583
  • Abstract
    Global warming and climate change trends call for urgent action to manage information and communication technologies in a sustainable manner by minimizing energy consumption and utilizing resources more efficiently. Distributed computing environments have become the de facto platforms for many applications. These systems bring a range of heterogeneous resources that should be able to function continuously and autonomously. However, distributed systems expend a lot of energy which raises a range of important research issues related to the use and virtualization of ICT resources in a way offers significant potential to contribute to the goal of what has been described as `green computing´. This paper will review some of the important questions related to the development of new algorithms and tools for energy-aware resource allocation for large-scale distributed systems enabling these systems to become environmentally friendly.
  • Keywords
    distributed processing; environmental factors; global warming; resource allocation; climate change; distributed computing environments; energy consumption; energy efficient resource allocation; global warming; green computing; large scale distributed systems; Dynamic scheduling; Energy consumption; Energy efficiency; Processor scheduling; Program processors; Resource management; Servers; clouds; distributed systems; energy efficiency; power-aware; scheduling; virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-7539-1
  • Type

    conf

  • DOI
    10.1109/DCABES.2010.124
  • Filename
    5571542