• DocumentCode
    441650
  • Title

    A Method to Determine the Severity Level of Dispute Policy Based on Safe Configuration Guidance

  • Author

    Qu, Rong-Xin ; Zhang, Chun-Hong ; Cai, Shu-Xun

  • Author_Institution
    Department of computer engineering, The Northeastern University at Qinhuangdao, Qinhuangdao 066004, China E-MAIL: qrx@mail.neuq.edu.cn
  • Volume
    1
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    596
  • Lastpage
    603
  • Abstract
    In this paper, a method to determine the severity level of dispute policy based on safe configuration guidance is present. This severity level of dispute policy will provide the network administrator more specific and guided information and help them to choose the debugged routing policy, eliminate policy disputes and solve the route oscillations efficiently. This method first extends Routing Policy Specification Language so as to enable it to describe the relationship between Autonomous Systems, which arises from the commercial contracts. And then, each of Autonomous System utilizes this extended language to describe the relationships between its own and its direct neighbors. When route oscillations occur, the algorithm to determine the dispute routing policies based on dispute cycle avoidance will identify the dispute policy set inducing route oscillations. Finally, according to the relationship of autonomous system and the safe configuration guidance, the severity level of dispute policy will be determined. In addition, a simulation instance is given in order to explain results of this method.
  • Keywords
    Routing policy specification language; border gateway protocol; route oscillations tracking; routing policy disputes; Computer aided instruction; Contracts; Cybernetics; Debugging; Electronic mail; Guidelines; Internet; Machine learning; Routing protocols; Specification languages; Routing policy specification language; border gateway protocol; route oscillations tracking; routing policy disputes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527014
  • Filename
    1527014