Toward Disaster-Resilient Optical Networks with Open and Disaggregated Subsystems [Invited]

Novel open and disaggregated optical-networking technologies promise to enhance multi-vendor interoperability thanks to their open interfaces in both data-plane and control/management-plane (C/M-plane). From the viewpoint of disaster resilience in optical networks, such interoperability will significantly improve the flexibility in product selection with regard to replacing damaged subsystems with products of different vendors. In this paper, we discuss various approaches for rapid post-disaster recovery in optical networks (including legacy optical networks) employing disaggregated subsystems, namely, the emergency first-aid unit (FAU) with open application programming interfaces and protocols. We address the following problems (and introduce the solutions that we are currently investigating): (1) how to take advantage of the new disaggregated resources and surviving legacy optical resources to achieve early recovery, (2) how to achieve integrated control of FAUs and non-FAU legacy ROADMs, and (3) how to quickly recreate the lost optical performance monitoring (OPM) capability with FAUs and perform a robust telemetry under the restricted bandwidth in the degraded C/M-plane networks.

[1]  Hiroaki Harai,et al.  Emergency optical network planning with multi-vendor interconnection and portable EDFAs , 2018, Ann. des Télécommunications.

[2]  Hiroaki Harai,et al.  Emergency Optical Network Construction and Control with Multi-Vendor Interconnection for Quick Disaster Recovery , 2016, IEICE Trans. Commun..

[3]  Biswanath Mukherjee,et al.  Traveling repairman problem for optical network recovery to restore virtual networks after a disaster [invited] , 2015, IEEE/OSA Journal of Optical Communications and Networking.

[4]  Massimo Tornatore,et al.  Progressive network recovery in optical core networks , 2015, 2015 7th International Workshop on Reliable Networks Design and Modeling (RNDM).

[5]  Hong-Fang Yu,et al.  Partial Network Recovery to Maximize Traffic Demand , 2011, IEEE Communications Letters.

[6]  Chunming Qiao,et al.  On progressive network recovery after a major disruption , 2011, 2011 Proceedings IEEE INFOCOM.

[7]  Srinivasan Ramasubramanian,et al.  Dual-Link Failure Resiliency Through Backup Link Mutual Exclusion , 2008, IEEE/ACM Transactions on Networking.

[8]  Krishna M. Sivalingam,et al.  A hybrid protection-restoration mechanism for enhancing dual-failure restorability in optical mesh-restorable networks , 2003, OptiComm: Optical Networking and Communications Conference.

[9]  Ryoichi Kawahara,et al.  Proposal of disaster avoidance control , 2014, 2014 16th International Telecommunications Network Strategy and Planning Symposium (Networks).

[10]  Hiroshi Saito Analysis of Geometric Disaster Evaluation Model for Physical Networks , 2015, IEEE/ACM Transactions on Networking.

[11]  Biswanath Mukherjee,et al.  Emergency OPM Recreation and Telemetry for Disaster Recovery in Optical Networks , 2020, Journal of Lightwave Technology.

[12]  Naoya Wada,et al.  Experimental Demonstration of Disaggregated Emergency Optical System for Quick Disaster Recovery , 2018, Journal of Lightwave Technology.

[13]  Biswanath Mukherjee,et al.  Joint Progressive Network and Datacenter Recovery After Large-Scale Disasters , 2020, IEEE Transactions on Network and Service Management.