• DocumentCode
    607376
  • Title

    Evaluation of dynamic conflict avoidance algorithm

  • Author

    Mansor, A.A. ; Wan Kadir, Wan M. N. ; Anwar, Toni ; Elias, Hidayah

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Khartoum, Khartoum, Sudan
  • fYear
    2012
  • fDate
    3-5 Dec. 2012
  • Firstpage
    913
  • Lastpage
    919
  • Abstract
    Dynamic system management may involve interaction between independent decision-making components which can lead to conflicts. Policy-based Managers Coordination (PobMC) was proposed as an adaptive framework that may handle such conflicts. In PobMC, policies are used to adapt the system behavior, coordinate managers´ tasks and allow us to decouple the adaptation concerns from the application code. Thus, it is required to ensure whether the governing policies are enforced correctly. In this paper we check and evaluate the dynamic conflict avoidance algorithm proposed in our previous works. Policy combination algorithms (PACs) concepts are used in the analysis and the evaluation to avoid policy conflicts and to reach a unique decision.
  • Keywords
    decision making; PAC; PobMC; adaptive framework; coordinate manager tasks; coordinate managers; dynamic conflict avoidance algorithm evaluation; dynamic system management; governing policies; independent decision-making components; policy combination algorithms; policy-based manager coordination; system behavior; Adaptive Software; Dynamic conflict detection; Policy-based system management; Policy-conflict;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-0894-6
  • Type

    conf

  • Filename
    6530465