P. Tran, and H. Saito. 28th International Teletraffic Congress (ITC 28), Würzburg, Germany, (September 2016)
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.
%0 Conference Paper
%1 Tran2016
%A Tran, Phuong Nga
%A Saito, Hiroshi
%B 28th International Teletraffic Congress (ITC 28)
%C Würzburg, Germany
%D 2016
%K itc itc28
%T Disaster Avoidance Control Against Tsunami
%U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc28/Tran2016.pdf?inline=true
%X 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.
@inproceedings{Tran2016,
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.},
added-at = {2016-08-31T16:30:53.000+0200},
address = {Würzburg, Germany},
author = {Tran, Phuong Nga and Saito, Hiroshi},
biburl = {https://www.bibsonomy.org/bibtex/20fde526cbbe12e55e9dbce96f6e6796d/itc},
booktitle = {28th International Teletraffic Congress (ITC 28)},
days = {12},
interhash = {dca4ae67ab5c4b34d18141576ad5a484},
intrahash = {0fde526cbbe12e55e9dbce96f6e6796d},
keywords = {itc itc28},
month = {Sept},
timestamp = {2020-05-26T16:53:35.000+0200},
title = {Disaster Avoidance Control Against Tsunami},
url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc28/Tran2016.pdf?inline=true},
year = 2016
}