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Future Networks: Overview of Optimization Problems in Decision-Making Procedures

Future Networks: Overview of Optimization Problems in Decision-Making Procedures

Nancy Perrot, Amal Benhamiche, Yannick Carlinet, Eric Gourdin
Copyright: © 2021 |Pages: 30
ISBN13: 9781799877080|ISBN10: 1799877086|EISBN13: 9781799877547
DOI: 10.4018/978-1-7998-7708-0.ch028
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MLA

Perrot, Nancy, et al. "Future Networks: Overview of Optimization Problems in Decision-Making Procedures." Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society, edited by Information Resources Management Association, IGI Global, 2021, pp. 677-706. https://doi.org/10.4018/978-1-7998-7708-0.ch028

APA

Perrot, N., Benhamiche, A., Carlinet, Y., & Gourdin, E. (2021). Future Networks: Overview of Optimization Problems in Decision-Making Procedures. In I. Management Association (Ed.), Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society (pp. 677-706). IGI Global. https://doi.org/10.4018/978-1-7998-7708-0.ch028

Chicago

Perrot, Nancy, et al. "Future Networks: Overview of Optimization Problems in Decision-Making Procedures." In Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society, edited by Information Resources Management Association, 677-706. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-7708-0.ch028

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Abstract

This chapter gives an insight into some challenging combinatorial optimization problems that have to be tackled to deliver efficient and appropriate decision algorithms to manage future networks. The first part of the chapter is dedicated to variants of routing optimization problems in future IP networks, and the second part is dedicated to two optimization problems related to network virtualization and 5G network slicing, the virtual network embedding problem and the service function chaining problem. Each of these optimization problems is described along with the main challenges to overcome, and a recent and extensive related state of the art is given, so as to highlight the most recent and promising approaches to solve them.

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