• DocumentCode
    2488743
  • Title

    Market-Based Resource Allocation for Service Overlay Networks

  • Author

    Egashira, Ryota ; Suda, Tatsuya

  • Author_Institution
    Sch. of Inf. & Comput. Sci., Univ. of California, Irvine, CA, USA
  • fYear
    2009
  • fDate
    12-12 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In recent years, service overlay networks have been proposed as a promising solution to provide end-to-end QoS without changing the current Internet architecture. In deploying service overlay networks, one major issue is how to efficiently allocate resources (e.g., link bandwidth) on a substrate network to each application with end-to-end QoS requirement. This paper proposes a novel decentralized architecture that achieves efficient resource allocation using a market mechanism. Resources on a substrate network are priced and each application provider aims to buy resources needed to satisfy its QoS requirement with minimum cost, which leads to globally efficient resource allocation. In order to further enhance efficiency in resource allocation, the proposed architecture enables trade of resources between applications. Trade of resources allows an application provider to buy resources from other application providers when resources on a substrate network are unavailable or expensive. Simulation results demonstrate the validity of the proposed architecture in improving efficiency of resource allocation.
  • Keywords
    quality of service; resource allocation; QoS; decentralized architecture; market-based resource allocation; resource trading; service overlay networks; Application software; Bandwidth; Computer architecture; Computer networks; IP networks; Network servers; Resource management; Telecommunication traffic; Web and internet services; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Modeling and Design of Communication Links and Networks, 2009. CAMAD '09. IEEE 14th International Workshop on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-3532-6
  • Electronic_ISBN
    978-1-4244-3533-3
  • Type

    conf

  • DOI
    10.1109/CAMAD.2009.5161470
  • Filename
    5161470