A Risk Reduction Approach in Optical Backbone Network

Optical networks are widely used today and in case of any natural disaster, they ensure connectivity. Disaster management schemes proposed in past have many problems associated with them; cost of recovery of fiber being the major one. A small interruption in the optical network results in the loss of large number of data packets during the recovery processes and sometimes the recovery process takes a long time. To address these problems, the low risk failure optical network can be designed by considering the seismic hazard map of India. In this paper, we propose a restoration model to cater the sudden failure in the optical network. New links are added to the network. We have tried to increase the capacity of the safer links and their subsequent physical routes under minimum cost with the aim to reduce the possibilities of failure in the network. The mathematical model for integer linear programming (ILP) for risk aware provisioning scheme has been proposed, the proactive and reactive approach has also been discussed. The proposed scheme reduces the possibility of failure in communication network caused by the disaster.

[1]  Eytan Modiano,et al.  Geographic max-flow and min-cut under a circular disk failure model , 2012, 2012 Proceedings IEEE INFOCOM.

[2]  Shashi Prakash,et al.  Survivability using traffic balancing and backup resource reservation in multi-domain optical networks , 2018, Int. J. Commun. Syst..

[3]  Hiroshi Saito,et al.  Geographical route design of physical networks using earthquake risk information , 2016, IEEE Communications Magazine.

[4]  Shunroku Yamamoto,et al.  Evaluation of the real‐time earthquake information system in Japan , 2009 .

[5]  K. Mehta,et al.  Climatology of tornadoes of India and Bangladesh , 1981 .

[6]  Philip T. Krein,et al.  Telecommunications Power Plant Damage Assessment for Hurricane Katrina– Site Survey and Follow-Up Results , 2009, IEEE Systems Journal.

[7]  Biswanath Mukherjee,et al.  Minimizing the Risk From Disaster Failures in Optical Backbone Networks , 2014, Journal of Lightwave Technology.

[8]  Koji Tanaka,et al.  Experiment on Seismic Disaster Characteristics of Underground Cable , 2008 .

[9]  Shashi Prakash,et al.  Hybrid connection algorithm: A strategy for efficient restoration in WDM optical networks , 2010 .

[10]  Shashi Prakash,et al.  Least loaded and route fragmentation aware RSA strategies for elastic optical networks , 2017 .

[11]  George N. Rouskas,et al.  Traffic grooming in WDM networks: past and future , 2002, IEEE Netw..

[12]  Estimation of Peak Ground Acceleration for Delhi Region using Finsim , a Finite Fault Simulation Technique , 2009 .

[13]  B. S. Manoj,et al.  Quasi Path Restoration: A post-failure recovery scheme over pre-allocated backup resource for elastic optical networks , 2018 .

[14]  Vimal Bhatia,et al.  Survivability Improvement Against Earthquakes in Backbone Optical Networks Using Actual Seismic Zone Information , 2017, ArXiv.

[15]  Shashi Prakash,et al.  An efficient resources allocation strategy for survivable WDM network under static lightpath demand , 2013 .

[16]  B. S. Manoj,et al.  A Multi-Backup Path Protection scheme for survivability in Elastic Optical Networks , 2016 .

[17]  Moshe Zukerman,et al.  Topology Design of Undersea Cables Considering Survivability Under Major Disasters , 2009, 2009 International Conference on Advanced Information Networking and Applications Workshops.

[18]  Eytan Modiano,et al.  Geographic max-flow and min-cut under a circular disk failure model , 2012, INFOCOM.

[19]  Yang Ran,et al.  Considerations and suggestions on improvement of communication network disaster countermeasures after the wenchuan earthquake , 2011, IEEE Communications Magazine.

[20]  Takaaki Adachi,et al.  The restoration of telecom power damages by the Great East Japan Earthquake , 2011, 2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC).