Topics: Technologies and architectures for network and traffic/service management; Network manageability, scalability, fault tolerance, reliability, and troubleshooting
Authors: Phuong Nga Tran (NTT Network Technology Laboratories, Japan); Hiroshi Saito (NTT; NTT Network Technology Laboratories, Japan)
Presenter bio: Phuong Nga Tran received a bachelor degree in Electronics and Telecommunications from Hanoi University of Technology in 2002, a M.Sc in Information and Communication Systems, and a PhD degree in Communication Networks from Hamburg University of Technology in 2006 and 2010, respectively. From October 2010 to April 2015, she worked in the institute of Communication Networks at Hamburg University of Technologies and from April 2015 to April 2016 at NTT Network Technology laboratory in Tokyo as a postdoc researcher. Since August 2016, she joined Vietnamese-Germany University as a senior lecturer. Her research interests include network planning and future internet architectures.
Abstract:
We investigated challenges in network disaster management
against tsunamis. A tsunami is a natural disaster of
which the arrival time and devastating effect can be predicted.
Based on this prediction, network operators can carry out
different disaster management actions to avoid or reduce the
damaging effect of tsunami on the network. We developed
and evaluated heuristic algorithms to efficiently migrate service
(virtual) networks away from a disaster affected area to minimize
traffic loss when a tsunami arrives. The problem was first
formulated as an integer linear programming problem, which
can be solved using optimization solvers for small/medium-sized
networks. For large networks, our heuristic algorithms ensure
a good solution within a reasonable time. Extensive simulations
were carried out to evaluate the performance of our proposed
algorithms. On the basis of the tsunami predicted information
and network status, network operators can select a suitable
algorithm for their disaster management action.
