• DocumentCode
    1334437
  • Title

    Ant Colony Optimization Based Self-Organizing QoS Framework in IP Networks

  • Author

    Kim, Young-Min ; Lee, Eun-Jung ; Park, Hong-Shik

  • Author_Institution
    Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • Volume
    14
  • Issue
    11
  • fYear
    2010
  • fDate
    11/1/2010 12:00:00 AM
  • Firstpage
    1074
  • Lastpage
    1076
  • Abstract
    We propose an ant colony optimization based self-organizing QoS framework, referred to as AntQoS. AntQoS introduces a new concept named QoS colony which is a virtual sub colony to heuristically search a sub-optimal path for given QoS requirements in real-time. Compared with previous QoS frameworks, AntQoS provides two promising capabilities using QoS colonies: 1) self-organizing network QoS (not pre-defined class-based QoS), which autonomously reconfigures itself by promptly adapting to the changing network status, and 2) self-organizing controls, which autonomously resolve network congestion and resist network failures. Simulation results show that AntQoS guarantees diverse QoS requirements of emerging services while increasing network throughput.
  • Keywords
    IP networks; heuristic programming; quality of service; search problems; self-organising feature maps; telecommunication network reliability; AntQoS; IP networks; ant colony optimization; network congestion; network failures; network throughput; self-organizing QoS framework; self-organizing controls; Ant colony optimization; Bandwidth; Delay; Diffserv networks; Organizing; Quality of service; Throughput; Ant colony optimization; AntQoS; QoS colony; self-organizing QoS framework; swarm intelligence;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2010.091710.101382
  • Filename
    5585628