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Modelling aspects of distributed processingin telecommunication networks

Author

Listed:
  • Asgeir Tomasgard
  • Jan Audestad
  • Shane Dye
  • Leen Stougie
  • Maarten van der Vlerk
  • Stein Wallace

Abstract

The purpose of this paper is to formally describe new optimization models for telecommunicationnetworks with distributed processing. Modern distributed networks put morefocus on the processing of information and less on the actual transportation of data than weare traditionally used to in telecommunications. This paper introduces new approaches formodelling decision support at operational, tactical and strategic levels. One of the mainadvantages of the technological framework we are working within is its inherent flexibility,which enables us to dynamically plan and consider uncertainty when decisions are made.When we present the models, emphasis is placed on the modelling discussions around theshift of focus towards processing, the new technological aspects, and how to utilize flexibilityto cope with uncertainty. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • Asgeir Tomasgard & Jan Audestad & Shane Dye & Leen Stougie & Maarten van der Vlerk & Stein Wallace, 1998. "Modelling aspects of distributed processingin telecommunication networks," Annals of Operations Research, Springer, vol. 82(0), pages 161-185, August.
    • Handle: RePEc:spr:annopr:v:82:y:1998:i:0:p:161-185:10.1023/a:1018902417700
    DOI: 10.1023/A:1018902417700
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    Cited by:

    1. Shane Dye & Leen Stougie & Asgeir Tomasgard, 2003. "The stochastic single resource service‐provision problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(8), pages 869-887, December.
    2. Poojari, Chandra A. & Varghese, Boby, 2008. "Genetic Algorithm based technique for solving Chance Constrained Problems," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1128-1154, March.
    3. Stougie, Leen & Vlerk, Maarten H. van der, 2003. "Approximation in stochastic integer programming," Research Report 03A14, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    4. Zahra Mashayekhi Zadeh & Esmaile Khorram, 2012. "Convexity of chance constrained programming problems with respect to a new generalized concavity notion," Annals of Operations Research, Springer, vol. 196(1), pages 651-662, July.
    5. David P. Morton & Ward Romeijnders & Rüdiger Schultz & Leen Stougie, 2018. "The stochastic programming heritage of Maarten van der Vlerk," Computational Management Science, Springer, vol. 15(3), pages 319-323, October.
    6. repec:dgr:rugsom:03a14 is not listed on IDEAS

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