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

Betül Ahat (), Necati Aras, Kuban Altınel, Ahmet Cihat Baktır and Cem Ersoy
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Betül Ahat: Boğaziçi University
Necati Aras: Boğaziçi University
Kuban Altınel: Boğaziçi University
Ahmet Cihat Baktır: Boğaziçi University
Cem Ersoy: Boğaziçi University

A chapter in Operations Research Proceedings 2019, 2020, pp 199-205 from Springer

Abstract: 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.

Keywords: Stochastic programming; Network optimization (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-48439-2_24

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DOI: 10.1007/978-3-030-48439-2_24

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