• DocumentCode
    2789777
  • Title

    Efficient resource management for hard real-time communication over differentiated services architectures

  • Author

    Choi, Byung Kyu ; Bettati, Riccardo

  • Author_Institution
    Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    119
  • Lastpage
    126
  • Abstract
    We propose an efficient strategy for resource management for scalable QoS guaranteed real-time communication services. This strategy is based on sink trees, and is particularly well suited for differentiated-services based architectures. We first show that finding a set of sink-trees in a given network is NP-complete. Then we propose a heuristic algorithm that always efficiently produces a set of sink-trees for a given network. Sink-tree based resource management integrates routing and resource reservation along the routes, and therefore has a number of advantages over other resource management scheme, in terms of: admission probability, link resource utilization, flow set up latency, signaling overhead, and routing over-head. In this paper we show by simulation experiments that even for simple cases the sink-tree based approach shows excellent results in terms of admission probability
  • Keywords
    computer network management; resource allocation; telecommunication services; NP-complete problem; admission probability; differentiated services architectures; hard real-time communication; heuristic algorithm; link resource utilization; resource management; resource reservation; simulation experiments; sink trees; Admission control; Aggregates; Computational modeling; Computer architecture; Computer science; Delay; Resource management; Routing; Scalability; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real-Time Computing Systems and Applications, 2000. Proceedings. Seventh International Conference on
  • Conference_Location
    Cheju Island
  • ISSN
    1530-1427
  • Print_ISBN
    0-7695-0930-4
  • Type

    conf

  • DOI
    10.1109/RTCSA.2000.896379
  • Filename
    896379