• DocumentCode
    2232068
  • Title

    Agent based dynamic resource allocation on federated clouds

  • Author

    Haresh, M.V. ; Kalady, Saidalavi ; Govindan, V.K.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol. Calicut, Calicut, India
  • fYear
    2011
  • fDate
    22-24 Sept. 2011
  • Firstpage
    111
  • Lastpage
    114
  • Abstract
    Current large distributed system allows users to share and trade resources. In cloud computing, users purchase different resources like network bandwidth, computing power and storage system from one or more cloud providers for a limited period of time with a variable or fixed price. Federated cloud is a mechanism for sharing resources thereby increasing scalability. Allocating resources in cloud is a complex procedure. In order to improve resource allocation agent based resource allocation method is used. In this method, the user needs not know who is the cloud service provider and where the resources reside. The consumer gets the resources with the minimum price. The proposed system has three types of agents namely Consumer agent, Resource Brokering agent and Resource Provider agent.
  • Keywords
    cloud computing; multi-agent systems; resource allocation; agent based dynamic resource allocation; cloud computing; computing power; consumer agent; distributed system; federated clouds; network bandwidth; resource brokering agent; resource provider agent; storage system; Cloud computing; Dynamic scheduling; Multiagent systems; Proposals; Protocols; Resource management; Waste materials; Auction; MARA; MAS; Negotiation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE
  • Conference_Location
    Trivandrum
  • Print_ISBN
    978-1-4244-9478-1
  • Type

    conf

  • DOI
    10.1109/RAICS.2011.6069283
  • Filename
    6069283