• DocumentCode
    1396238
  • Title

    Grid Resource Negotiation: Survey and New Directions

  • Author

    Sim, Kwang Mong

  • Author_Institution
    Dept. of Inf. & Commun., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
  • Volume
    40
  • Issue
    3
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    245
  • Lastpage
    257
  • Abstract
    Since Grid computing systems involve large-scale resource sharing, resource management is central to their operations. Whereas there are more Grid resource management systems adopting auction, commodity market, and contract-net (tendering) models, this survey supplements and complements existing surveys by reviewing, comparing, and highlighting existing research initiatives on applying bargaining (negotiation) as a mechanism to Grid resource management. The contributions of this paper are: 1) discussing the motivations for considering bargaining models for Grid resource allocation; 2) discussing essential design considerations such as modeling devaluation of Grid resources, considering market dynamics, relaxing bargaining terms, and co-allocation of resources when building Grid negotiation mechanisms; 3) reviewing the strategies and protocols of state-of-the-art Grid negotiation mechanisms; 4) providing detailed comparisons and analyses on how state-of-the-art Grid negotiation mechanisms address the design considerations mentioned in 3); and 5) suggesting possible new directions.
  • Keywords
    grid computing; resource allocation; auction; commodity market; contract-net model; grid computing system; grid resource management system; grid resource negotiation; large-scale resource sharing; Automated negotiation; G-commerce; Grid economics; Grid resource allocation; Grid resource management; bargaining; computational economy; negotiation agent;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1094-6977
  • Type

    jour

  • DOI
    10.1109/TSMCC.2009.2037134
  • Filename
    5398959