TY - CHAP
T1 - A combinatorial optimisation approach to the design of dual parented long-reach passive optical networks
AU - Cambazard, Hadrien
AU - Mehta, Deepak
AU - O'Sullivan, Barry
AU - Quesada, Luis
AU - Ruffini, Marco
AU - Payne, David
AU - Doyle, Linda
PY - 2011
Y1 - 2011
N2 - We present an application focused on the design of resilient long-reach passive optical networks. We specifically consider dual parented networks whereby each customer must be connected to two metro sites via local exchange sites. An important property of such a placement is resilience to single metro node failure. The objective of the application is to determine the optimal position of a set of metro-nodes such that the total optical fibre length is minimised. We prove that the decision variant of this problem is NP-Complete. We present three alternative combinatorial optimisation approaches to finding an optimal metro node placement using: a mixed integer linear programming formulation of the problem; a hybrid approach that uses clustering as a preprocessing step; and, finally, a local search approach. We consider a detailed case-study based on a network for Ireland. The hybrid approach scales well and finds solutions that are close to optimal, with a runtime that is two orders-of-magnitude better than the MIP model. The local search approach is consistently good on all benchmarks.
AB - We present an application focused on the design of resilient long-reach passive optical networks. We specifically consider dual parented networks whereby each customer must be connected to two metro sites via local exchange sites. An important property of such a placement is resilience to single metro node failure. The objective of the application is to determine the optimal position of a set of metro-nodes such that the total optical fibre length is minimised. We prove that the decision variant of this problem is NP-Complete. We present three alternative combinatorial optimisation approaches to finding an optimal metro node placement using: a mixed integer linear programming formulation of the problem; a hybrid approach that uses clustering as a preprocessing step; and, finally, a local search approach. We consider a detailed case-study based on a network for Ireland. The hybrid approach scales well and finds solutions that are close to optimal, with a runtime that is two orders-of-magnitude better than the MIP model. The local search approach is consistently good on all benchmarks.
UR - https://www.scopus.com/pages/publications/84855815833
U2 - 10.1109/ICTAI.2011.123
DO - 10.1109/ICTAI.2011.123
M3 - Chapter
AN - SCOPUS:84855815833
SN - 9780769545967
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 785
EP - 792
BT - Proceedings - 2011 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
T2 - 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
Y2 - 7 November 2011 through 9 November 2011
ER -