• DocumentCode
    21041
  • Title

    A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing [Review Article]

  • Author

    Guzek, Mateusz ; Bouvry, Pascal ; Talbi, El-Ghazali

  • Author_Institution
    SnT, Univ. of Luxembourg, Luxembourg City, Luxembourg
  • Volume
    10
  • Issue
    2
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    53
  • Lastpage
    67
  • Abstract
    Cloud computing is significantly reshaping the computing industry. Individuals and small organizations can benefit from using state-of-the-art services and infrastructure, while large companies are attracted by the flexibility and the speed with which they can obtain the services. Service providers compete to offer the most attractive conditions at the lowest prices. However, the environmental impact and legal aspects of cloud solutions pose additional challenges. Indeed, the new cloud-related techniques for resource virtualization and sharing and the corresponding service level agreements call for new optimization models and solutions. It is important for computational intelligence researchers to understand the novelties introduced by cloud computing. The current survey highlights and classifies key research questions, the current state of the art, and open problems.
  • Keywords
    cloud computing; contracts; evolutionary computation; cloud computing; cloud-related technique; computing industry; evolutionary computation; optimization model; resource management; resource virtualization; service level agreements; Cloud computing; Industries; Resource management; Resource virtualization; Strategic planning;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2015.2405351
  • Filename
    7083783