• DocumentCode
    481664
  • Title

    The Effect of Routing-Load Dispersion on Congestion Control in Structured P2P Networks

  • Author

    Huang, Guowei ; Chen, Zhi ; Wu, Ying ; Wu, Gongyi

  • Author_Institution
    Dept. of Comput. Sci., Nankai Univ.
  • Volume
    1
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    424
  • Lastpage
    430
  • Abstract
    In structured P2P networks, the heterogeneity of node capacity, the skewness in query pattern and the greedy routing strategy could result in the load imbalance problem. However, existing load balancing algorithms for structured P2P networks mainly focused on handling the heterogeneity among nodes and the skewed workload. To deal with the load imbalance issue caused by the greedy routing strategy, we propose a routing load dispersion (RLD) mechanism for structured P2P networks in this paper. The mechanism manages to disperse the routing load of queries among nodes so that more nodes have a chance to dedicate their capacities for routing. By dispersing the routing load, the RLD mechanism is able to make use of the free capacity in the network and avoid the congestion effectively. We also evaluate the RLD mechanism by extensive simulations and the simulation results demonstrate the effectiveness of RLD mechanism on congestion control under different workload and churn levels.
  • Keywords
    greedy algorithms; peer-to-peer computing; query processing; resource allocation; telecommunication congestion control; telecommunication network routing; congestion control; greedy routing strategy; load imbalance problem; query pattern; routing-load dispersion; structured P2P networks; Computer science; Dispersion; Large-scale systems; Load management; Memory; Network servers; Peer to peer computing; Routing protocols; Scheduling; Ubiquitous computing; congestion control; load balance; peer-to-peer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Ubiquitous Computing, 2008. EUC '08. IEEE/IFIP International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3492-3
  • Type

    conf

  • DOI
    10.1109/EUC.2008.131
  • Filename
    4756370