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Stochastic RWA and Lightpath Rerouting in WDM Networks

Maryam Daryalal(m.daryalal***at***mail.utoronto.ca)
Merve Bodur(bodur***at***mie.utoronto.ca)

Abstract: In a telecommunication network, Routing and Wavelength Assignment (RWA) is the problem of finding lightpaths for incoming connection requests. When facing a dynamic traffic, greedy assignment of lightpaths to incoming requests based on predefined deterministic policies leads to a fragmented network that cannot make use of its full capacity due to stranded bandwidth. At this point service providers try to recover the capacity via a defragmentation process. We study this setting from two perspectives: (i) while granting the connection requests via the RWA problem and (ii) during the defragmentation process by lightpath rerouting. For both problems, we present the first two-stage stochastic integer programming model incorporating incoming request uncertainty to maximize the expected grade of service. We develop a decomposition-based solution approach, which uses various relaxations of the problem and a newly developed problem-specific cut family. Simulation of two-stage policies for a variety of instances in a rolling-horizon framework of 52 stages shows that our stochastic models provide high-quality solutions compared to traditionally used deterministic ones. Specifically, the proposed provisioning policies yield improvements of up to 19% in overall grade of service and 20% in spectrum saving, while the stochastic lightpath rerouting policies grant up to 36% more requests using up to just 4% more bandwidth spectrum.

Keywords: Two-stage Stochastic Programming, Routing and Wavelength Assignment, Lightpath Rerouting, Optical Networks

Category 1: Applications -- OR and Management Sciences (Telecommunications )

Category 2: Stochastic Programming

Citation:

Download: [PDF]

Entry Submitted: 12/17/2020
Entry Accepted: 12/18/2020
Entry Last Modified: 12/17/2020

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