Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ITC-28.2016.113 | 2016 28th International Teletraffic Congress (ITC 28) |
Keywords | Field | DocType |
Disaster management,virtual network reconfiguration,tsunami | Large networks,Heuristic,Computer security,Computer science,Emergency management,Computer network,Natural disaster,Integer programming,Operator (computer programming),Distributed computing | Conference |
Volume | ISBN | Citations |
01 | 978-1-5090-1304-3 | 0 |
PageRank | References | Authors |
0.34 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Phuong Nga Tran | 1 | 0 | 0.34 |
| Hiroshi Saito | 2 | 164 | 16.39 |