• DocumentCode
    3114123
  • Title

    An on demand path marking and capacity reservation method using split agent

  • Author

    Mavromoustakis, Constandinos X. ; Karatza, Helen D.

  • Author_Institution
    Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece
  • fYear
    2004
  • fDate
    38145
  • Firstpage
    128
  • Lastpage
    137
  • Abstract
    Different schemes for large scale networks hosting distributed applications have been recently adopted for network path marking based on adaptive behavior of swarm-based agents. Topologically complex networks must use efficient routing methods in order to route data traffic from a source to a destination. In this paper the split agent-based routing technique (SART) is applied to a network in which a certain amount of data traffic is injected to mark different paths. split agent-based routing technique (SART) is a variant of swarm-based routing [R. Schoonderwoerd et al. (1997), H. G. Sandalidis et al. (2004)] where agents are split after their departure to the next node on a hop-by-hop basis at the same time performing path marking. Packets that are delay sensitive are marked as prioritized. Agents recognize these packets as being a part of, and try to influence the two way routing tables. Thorough examination has been done for the performance and path recoverability using SART algorithm for marking any requested path, taking into account a number of metrics. It is shown that the split agent scheme offers an efficient on demand path marking and path-capacity reservation in a decentralized manner (particularly efficient for large scale networks). SART method undoubtedly represents a solution for significant network optimization particularly for the equal share of network resources. Also it is shown that this scheme offers a way to increase overall performance.
  • Keywords
    bandwidth allocation; mobile agents; resource allocation; telecommunication network routing; telecommunication traffic; capacity reservation method; data traffic; distributed applications; large scale networks; network optimization; on demand network path marking; split agent-based routing technique; swarm-based agents; Centralized control; Communication networks; Complex networks; Delay; Informatics; Large-scale systems; Optimization methods; Quality of service; Routing; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges of Large Applications in Distributed Environments, 2004. CLADE 2004. Proceedings of the Second International Workshop on
  • Print_ISBN
    0-7695-2115-0
  • Type

    conf

  • DOI
    10.1109/CLADE.2004.1309099
  • Filename
    1309099