Survivable Network Design and Optimization with Network Families
In modeling communication networks for simulation of survivability schemes, one goal is often to implement these schemes across varying degrees of nodal connectivity to get unbiased performance results. Abstractions of real networks, simple random networks, and families of networks are the most comm...
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Series: | Journal of Computer Networks and Communications |
Online Access: | http://dx.doi.org/10.1155/2014/940130 |
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doaj-dcccaba4860a4f16bae243ad98895b212020-11-24T22:57:22ZengHindawi LimitedJournal of Computer Networks and Communications2090-71412090-715X2014-01-01201410.1155/2014/940130940130Survivable Network Design and Optimization with Network FamiliesBrody Todd0Abiose Ibigbami1John Doucette2Department of Mechanical Engineering, University of Alberta, Edmonton, AB, T6G 2G8, CanadaDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, T6G 2G8, CanadaDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, T6G 2G8, CanadaIn modeling communication networks for simulation of survivability schemes, one goal is often to implement these schemes across varying degrees of nodal connectivity to get unbiased performance results. Abstractions of real networks, simple random networks, and families of networks are the most common categories of these sample networks. This paper looks at how using the network family concept provides a solid unbiased foundation to compare different network protection models. The network family provides an advantage over random networks by requiring one solution per average nodal degree, as opposed to having to solve many, which could take a significant amount of time. Also, because the network family looks at a protection scheme across a variety of average nodal connectivities, a clearer picture of the scheme’s performance is gained compared to just running the simulation on a single network or select few networks.http://dx.doi.org/10.1155/2014/940130 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Brody Todd Abiose Ibigbami John Doucette |
spellingShingle |
Brody Todd Abiose Ibigbami John Doucette Survivable Network Design and Optimization with Network Families Journal of Computer Networks and Communications |
author_facet |
Brody Todd Abiose Ibigbami John Doucette |
author_sort |
Brody Todd |
title |
Survivable Network Design and Optimization with Network Families |
title_short |
Survivable Network Design and Optimization with Network Families |
title_full |
Survivable Network Design and Optimization with Network Families |
title_fullStr |
Survivable Network Design and Optimization with Network Families |
title_full_unstemmed |
Survivable Network Design and Optimization with Network Families |
title_sort |
survivable network design and optimization with network families |
publisher |
Hindawi Limited |
series |
Journal of Computer Networks and Communications |
issn |
2090-7141 2090-715X |
publishDate |
2014-01-01 |
description |
In modeling communication networks for simulation of survivability schemes, one goal is often to implement these schemes across varying degrees of nodal connectivity to get unbiased performance results. Abstractions of real networks, simple random networks, and families of networks are the most common categories of these sample networks. This paper looks at how using the network family concept provides a solid unbiased foundation to compare different network protection models. The network family provides an advantage over random networks by requiring one solution per average nodal degree, as opposed to having to solve many, which could take a significant amount of time. Also, because the network family looks at a protection scheme across a variety of average nodal connectivities, a clearer picture of the scheme’s performance is gained compared to just running the simulation on a single network or select few networks. |
url |
http://dx.doi.org/10.1155/2014/940130 |
work_keys_str_mv |
AT brodytodd survivablenetworkdesignandoptimizationwithnetworkfamilies AT abioseibigbami survivablenetworkdesignandoptimizationwithnetworkfamilies AT johndoucette survivablenetworkdesignandoptimizationwithnetworkfamilies |
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1725651087910764544 |