• DocumentCode
    3171491
  • Title

    Quantity of Resource aggregation for heterogeneous resource reservation for multimedia applications

  • Author

    Louvel, Maxime ; Pulou, Jacques ; Plantec, Alain ; Babau, Jean-Philippe

  • Author_Institution
    France Telecom R&D, Grenoble, France
  • fYear
    2010
  • fDate
    13-16 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we present our approach to cope with platforms´ heterogeneity of the home network. Traditional resource reservation policies, based on a mapping table, associate one Quantity of Resource (QoR) to one platform resulting in large table size. To reduce this size, we propose to use aggregated mapping tables to associate one aggregated QoR to several platforms. This reduction facilitates resources management for multimedia applications in home networks. This paper presents the aggregation algorithm which automatically builds aggregated mapping tables, with input criteria given by content providers. The algorithm uses clustering coupled with domain knowledge. It is evaluated with randomly generated mapping tables.
  • Keywords
    home computing; multimedia computing; resource allocation; aggregated mapping tables; domain knowledge; heterogeneous resource reservation; home network; multimedia applications; quantity of resource aggregation; resource reservation policies; resources management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation (ETFA), 2010 IEEE Conference on
  • Conference_Location
    Bilbao
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4244-6848-5
  • Type

    conf

  • DOI
    10.1109/ETFA.2010.5641228
  • Filename
    5641228