Abstract:
Optical multilayer optimization periodically reorganizes layer 0-1-2 network elements to handle both existing and dynamic traffic requirements in the most efficient manne...Show MoreMetadata
Abstract:
Optical multilayer optimization periodically reorganizes layer 0-1-2 network elements to handle both existing and dynamic traffic requirements in the most efficient manner. This delays the need for adding new resources in order to cope with the evolution of the traffic, thus saving CAPEX. The focus of this paper is on Layer 2, i.e., on capacity reoptimization at the optical transport network (OTN) layer when routes (e.g., LSPs in MPLS networks) are making unnecessarily long detours to evade congestion. Reconfiguration into optimized routes can be achieved by re-defining the routes, one at a time, so that they use the vacant resources generated by the disappearance of services using part of a path that transits the congested section. To maintain the Quality of Service, it is desirable to operate under a Make-Before-Break (MBB) paradigm, with the minimum number of reroutings. The challenge is to determine the best rerouting order while minimizing the bandwidth requirement. We propose an exact and scalable optimization model for computing a minimum bandwidth rerouting scheme subject to MBB in the OTN layer of an optical network. Numerical results show that we can successfully apply it on networks with up to 30 nodes, a very significant improvement with respect to the state of the art. We also provide some reoptimization analysis in terms of the bandwidth requirement vs. the number of reroutings.
Published in: IEEE/ACM Transactions on Networking ( Volume: 29, Issue: 5, October 2021)
Funding Agency:

Centre de Recherche Informatique de Montréal (CRIM), Montreal, Canada
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
Huy Duong received the Ph.D. degree in computer science from Concordia University, in 2020. He is currently a Post-Doctoral Researcher with the Computer Research Institute of Montreal (CRIM). He is also involved in the research coordination of the Self-Optimizing Fabric (SOF) Project of Ciena, a project addressing the complexity of distributing intelligence across disparate intelligent systems collaborating toward mutual ...Show More
Huy Duong received the Ph.D. degree in computer science from Concordia University, in 2020. He is currently a Post-Doctoral Researcher with the Computer Research Institute of Montreal (CRIM). He is also involved in the research coordination of the Self-Optimizing Fabric (SOF) Project of Ciena, a project addressing the complexity of distributing intelligence across disparate intelligent systems collaborating toward mutual ...View more

Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
Brigitte Jaumard (Senior Member, IEEE) is currently a Professor with the Department of Computer Science and Software Engineering (CSE), Concordia University. She has published over 400 articles in international journals in Operations Research and in Telecommunications. Recent studies include the design of efficient algorithms for network design, dimensioning and provisioning, scheduling algorithms in edge-computing and cl...Show More
Brigitte Jaumard (Senior Member, IEEE) is currently a Professor with the Department of Computer Science and Software Engineering (CSE), Concordia University. She has published over 400 articles in international journals in Operations Research and in Telecommunications. Recent studies include the design of efficient algorithms for network design, dimensioning and provisioning, scheduling algorithms in edge-computing and cl...View more

Inria, I3S, CNRS, Université Côte d’Azur, Sophia Antipolis, France
David Coudert is currently a Senior Researcher with the Inria Sophia Antipolis–Méditerranée, France, where he leads the COATI join project-team between Inria and the I3S (Université Côte d’Azur, CNRS UMR 7271) Laboratory. He is particularly interested in decomposition and pre-processing methods that can help to better understand the structure of graphs and to design faster algorithms. On these topics, he has already coaut...Show More
David Coudert is currently a Senior Researcher with the Inria Sophia Antipolis–Méditerranée, France, where he leads the COATI join project-team between Inria and the I3S (Université Côte d’Azur, CNRS UMR 7271) Laboratory. He is particularly interested in decomposition and pre-processing methods that can help to better understand the structure of graphs and to design faster algorithms. On these topics, he has already coaut...View more

Ciena, Ottawa, Canada
Romualdas (Ron) Armolavicius received the B.Sc. degree in mathematics from the University of Toronto. From 2013 to 2019, he was employed at CIENA as a Senior Advisor and the Chief Technology Officer, where he was mainly responsible for investigating routing algorithm design and performance. He was the coauthor of over six patents during this period. Prior to 2013, he developed simulation and analytic models of train perfo...Show More
Romualdas (Ron) Armolavicius received the B.Sc. degree in mathematics from the University of Toronto. From 2013 to 2019, he was employed at CIENA as a Senior Advisor and the Chief Technology Officer, where he was mainly responsible for investigating routing algorithm design and performance. He was the coauthor of over six patents during this period. Prior to 2013, he developed simulation and analytic models of train perfo...View more

Centre de Recherche Informatique de Montréal (CRIM), Montreal, Canada
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
Huy Duong received the Ph.D. degree in computer science from Concordia University, in 2020. He is currently a Post-Doctoral Researcher with the Computer Research Institute of Montreal (CRIM). He is also involved in the research coordination of the Self-Optimizing Fabric (SOF) Project of Ciena, a project addressing the complexity of distributing intelligence across disparate intelligent systems collaborating toward mutual tasks, while maintaining separation of concerns. His interests include operations research, large-scale optimization, and AI and ML applied in networking.
Huy Duong received the Ph.D. degree in computer science from Concordia University, in 2020. He is currently a Post-Doctoral Researcher with the Computer Research Institute of Montreal (CRIM). He is also involved in the research coordination of the Self-Optimizing Fabric (SOF) Project of Ciena, a project addressing the complexity of distributing intelligence across disparate intelligent systems collaborating toward mutual tasks, while maintaining separation of concerns. His interests include operations research, large-scale optimization, and AI and ML applied in networking.View more

Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
Brigitte Jaumard (Senior Member, IEEE) is currently a Professor with the Department of Computer Science and Software Engineering (CSE), Concordia University. She has published over 400 articles in international journals in Operations Research and in Telecommunications. Recent studies include the design of efficient algorithms for network design, dimensioning and provisioning, scheduling algorithms in edge-computing and clouds, and 5G networks. In artificial intelligence, contributions include the development of efficient optimization algorithms for reasoning under uncertainty, automated mechanical design in, namely, social networks and the design of trust estimator tools. More recently, she investigated the design of machine learning algorithms in medicine, logistics, and networking. Her research focuses on mathematical modeling and algorithm design for large-scale optimization (optimization problems with millions of variables) problems arising in communication networks, transportation and logistics networks, and in machine learning (with applications in 5G cognitive networks and failure prediction in assembly).
Brigitte Jaumard (Senior Member, IEEE) is currently a Professor with the Department of Computer Science and Software Engineering (CSE), Concordia University. She has published over 400 articles in international journals in Operations Research and in Telecommunications. Recent studies include the design of efficient algorithms for network design, dimensioning and provisioning, scheduling algorithms in edge-computing and clouds, and 5G networks. In artificial intelligence, contributions include the development of efficient optimization algorithms for reasoning under uncertainty, automated mechanical design in, namely, social networks and the design of trust estimator tools. More recently, she investigated the design of machine learning algorithms in medicine, logistics, and networking. Her research focuses on mathematical modeling and algorithm design for large-scale optimization (optimization problems with millions of variables) problems arising in communication networks, transportation and logistics networks, and in machine learning (with applications in 5G cognitive networks and failure prediction in assembly).View more

Inria, I3S, CNRS, Université Côte d’Azur, Sophia Antipolis, France
David Coudert is currently a Senior Researcher with the Inria Sophia Antipolis–Méditerranée, France, where he leads the COATI join project-team between Inria and the I3S (Université Côte d’Azur, CNRS UMR 7271) Laboratory. He is particularly interested in decomposition and pre-processing methods that can help to better understand the structure of graphs and to design faster algorithms. On these topics, he has already coauthored more than 120 scientific publications. His research focuses on algorithmic graph theory, combinatorial optimization, and operations research for optimization problems arising in communication networks, transportation networks, and structural biology.
David Coudert is currently a Senior Researcher with the Inria Sophia Antipolis–Méditerranée, France, where he leads the COATI join project-team between Inria and the I3S (Université Côte d’Azur, CNRS UMR 7271) Laboratory. He is particularly interested in decomposition and pre-processing methods that can help to better understand the structure of graphs and to design faster algorithms. On these topics, he has already coauthored more than 120 scientific publications. His research focuses on algorithmic graph theory, combinatorial optimization, and operations research for optimization problems arising in communication networks, transportation networks, and structural biology.View more

Ciena, Ottawa, Canada
Romualdas (Ron) Armolavicius received the B.Sc. degree in mathematics from the University of Toronto. From 2013 to 2019, he was employed at CIENA as a Senior Advisor and the Chief Technology Officer, where he was mainly responsible for investigating routing algorithm design and performance. He was the coauthor of over six patents during this period. Prior to 2013, he developed simulation and analytic models of train performance for CN and VIA rail through Vectium Consulting. Until 2009, he was employed by Nortel/Bell-Northern Research in a variety of roles with the common theme mathematical and simulation modeling related to system design and performance.
Romualdas (Ron) Armolavicius received the B.Sc. degree in mathematics from the University of Toronto. From 2013 to 2019, he was employed at CIENA as a Senior Advisor and the Chief Technology Officer, where he was mainly responsible for investigating routing algorithm design and performance. He was the coauthor of over six patents during this period. Prior to 2013, he developed simulation and analytic models of train performance for CN and VIA rail through Vectium Consulting. Until 2009, he was employed by Nortel/Bell-Northern Research in a variety of roles with the common theme mathematical and simulation modeling related to system design and performance.View more