Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
On the Complexity of Finding a Minimum Cycle Cover of a Graph
SIAM Journal on Computing
On Monitoring Transparent Optical Networks
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
Fast optical layer mesh protection using pre-cross-connected trails
IEEE/ACM Transactions on Networking (TON)
Traffic recovery time constrained shared sub-path protection algorithm in survivable WDM networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Supporting multiple protection strategies in optical networks
IEEE/ACM Transactions on Networking (TON)
Single-link failure detection in all-optical networks using monitoring cycles and paths
IEEE/ACM Transactions on Networking (TON)
A novel approach for failure localization in all-optical mesh networks
IEEE/ACM Transactions on Networking (TON)
Optical Layer Monitoring Schemes for Fast Link Failure Localization in All-Optical Networks
IEEE Communications Surveys & Tutorials
Network-wide local unambiguous failure localization (NWL-UFL) via monitoring trails
IEEE/ACM Transactions on Networking (TON)
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To achieve fast link failure detection in all-optical networks, monitoring-cycles (m-cycles) are introduced at the optical layer to reduce the number of required monitoring devices (or monitors). Each m-cycle is equipped with a monitor and a pair of optical transceivers to transmit an optical supervisory signal. A set of m-cycles can be found to form a cycle cover of the network. If a link fails, optical supervisory signals inside the m-cycles passing through this link will be disrupted, and the corresponding monitors will alarm due to Loss of Light (LoL). This gives an alarm code to localize the failed link. The accuracy of the failure localization is measured by localization degree, and the amount of monitoring resources required is measured by the number of cycles/monitors, cover length, and monitoring wavelength requirement. The best known m-cycle construction algorithm HST [11] adopts a spanning tree-based approach. In this paper, we propose a new algorithm M^2-CYCLE to construct a cycle cover consisting of a set of minimum-length m-cycles (or m^2-cycles). We prove that M^2-CYCLE achieves the same localization degree as the spanning tree-based approach, but requires less amount of monitoring resources no matter how the spanning tree is generated. Numerical results confirm our theoretical analysis, and show that the monitoring resources required by M^2-CYCLE are dramatically cut down.