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Optimized Resource Allocation and Task Offload Orchestration for Service-Oriented Networks

In: Operations Research Proceedings 2019

Author

Listed:
  • Betül Ahat

    (Boğaziçi University)

  • Necati Aras

    (Boğaziçi University)

  • Kuban Altınel

    (Boğaziçi University)

  • Ahmet Cihat Baktır

    (Boğaziçi University)

  • Cem Ersoy

    (Boğaziçi University)

Abstract

With the expansion of mobile devices and new trends in mobile communication technologies, there is an increasing demand for diversified services. Thus, it becomes crucial for a service provider to optimize resource allocation decisions to satisfy the service requirements. In this paper, we propose a stochastic programming model to determine server placement and service deployment decisions given a budget restriction when certain service parameters are random. Our computational tests show that the Sample Average Approximation method can effectively find good solutions for different network topologies.

Suggested Citation

  • Betül Ahat & Necati Aras & Kuban Altınel & Ahmet Cihat Baktır & Cem Ersoy, 2020. "Optimized Resource Allocation and Task Offload Orchestration for Service-Oriented Networks," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 199-205, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-48439-2_24
    DOI: 10.1007/978-3-030-48439-2_24
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