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.
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References
Baktır, A.C., Özgövde, A., Ersoy, C.: How can edge computing benefit from software-defined networking: A survey, use cases, and future directions. IEEE Commun. Surv. Tutorials 19(4), 2359–2391 (2017)
Jia, M., Cao, J., Liang, W.: Optimal cloudlet placement and user to cloudlet allocation in wireless metropolitan area networks. IEEE Trans. Cloud Comput. 5(4), 725–737 (2015)
Kleywegt, A.J., Shapiro, A., Homem-de Mello, T.: The sample average approximation method for stochastic discrete optimization. SIAM J. Optim. 12(2), 479–502 (2002)
Knight, S., Nguyen, H.X., Falkner, N., Bowden, R., Roughan, M.: The internet topology zoo. IEEE J. Sel. Areas Commun. 29(9), 1765–1775 (2011)
Acknowledgements
The first two authors was partially supported by Boğaziçi University Scientific Research Project under the Grant number: BAP 14522.
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Ahat, B., Aras, N., Altınel, K., Baktır, A.C., Ersoy, C. (2020). Optimized Resource Allocation and Task Offload Orchestration for Service-Oriented Networks. In: Neufeld, J.S., Buscher, U., Lasch, R., Möst, D., Schönberger, J. (eds) Operations Research Proceedings 2019. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-48439-2_24
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DOI: https://doi.org/10.1007/978-3-030-48439-2_24
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