• DocumentCode
    2844590
  • Title

    Effective resilience design for recovery time restricted applications

  • Author

    Lakatos, Zsolt ; Szegedi, Peter

  • Author_Institution
    Telco. Dept., Budapest Univ. of Technol. & Econ., Hungary
  • fYear
    2005
  • fDate
    16-19 Oct. 2005
  • Abstract
    The idea that is discussed in this paper is a possible solution, which allows that the shared capacity oriented restoration scheme can be tailored according to the recovery time requirement of the delay sensitive applications, thus the efficient resource usage can be optimized under a recovery time constraint. This paper seems to be interesting, especially as an introduction for people that would approach the problem of recovery time constraints in resilient networks and also for showing the relationship between the amount of additional resource allocation needed by the restoration and the recovery time constraint fulfillment. This paper gives simple analytical models for the implementation options of the optical control plane signaling, shows some reference linear programming formulations for different resilience strategies and finally shows some illustrative numerical comparisons to support the aforementioned efforts.
  • Keywords
    delay estimation; linear programming; optical fibre networks; resource allocation; telecommunication network reliability; telecommunication signalling; linear programming; optical control plane signaling; recovery time restricted applications; resilient networks; resource allocation; shared capacity oriented restoration scheme; Constraint optimization; Delay effects; Intelligent networks; Optical control; Optical fiber networks; Optical sensors; Particle beam optics; Resilience; Signal restoration; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design of Reliable Communication Networks, 2005. (DRCN 2005). Proceedings.5th International Workshop on
  • Print_ISBN
    0-7803-9439-9
  • Type

    conf

  • DOI
    10.1109/DRCN.2005.1563844
  • Filename
    1563844