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
DOI: 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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Routing Optimization In Software-Defined Networks

In spite of the promises of the MPLS forwarding scheme, most IP networks still heavily rely on shortest-path rules where weights are assigned to links by network administrators and the routers are then able to compute shortest routing paths. It has been acknowledged for a long time that this indirect control (by setting administrative weights only) on the overall routing scheme makes the TE (Traffic Engineering) tasks very difficult to execute. On the contrary, MPLS-based mechanisms allow network administrators to deploy almost any possible routing pattern. However, the introduction of such a powerful tool shifts the problem from “how do I set weights so that traffic uses (more or less) the routes I want?” to a new kind of problem, namely “how do I find the best set of routes?” Indeed, if traffic between any o-d (origin-destination) pair can be forwarded along any combination of paths, deciding the routes for all o-d pairs at the same time seems an intractable problem.

Fortunately, such problems are extremely well solved using sophisticated optimization techniques and powerful algorithmic tools. The rise of SDN is a major opportunity to wisely combine all these optimization approaches in order to derive efficient routing and forwarding policies.

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