Name
Abstract | ||
|---|---|---|
At backbone network planning, an important task is to identify the failures to get prepared for. Technically, a list of link sets, called Shared Risk Link Groups (SRLG), is defined. The observed reliability of network services strongly depends on how carefully this list was selected and whether it contains every high-risk failure event. Regional failures often cause the breakdown of multiple elements of the network, which are physically close to each other. In this article, we show that operators should prepare a network for only a small number of possible regional failure events. In particular, we give an approach to generate the list of SRLGs that hit every possible circular disk shaped disaster of a given radius r. We show that this list has O((n + x)ρ
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub>
) SRLGs, where n is the number of nodes in the network and x is the number of link crossings, and ρ, is the maximal number of links that could be hit by a circular disaster of radius r. We give a fast polynomial algorithm to enumerate the list of SRLGs and show that its worst-case time complexity is asymptotically optimal under some practical restrictions. Finally, through extensive simulations, we show that this list in practice has a size of ≈ 1.2n. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNET.2020.3009297 | IEEE/ACM Transactions on Networking |
Keywords | DocType | Volume |
Disaster resilience,network failure modeling,shared risk link groups,SRLG enumeration,computational geometry | Journal | 28 |
Issue | ISSN | Citations |
6 | 1063-6692 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| János Tapolcai | 1 | 364 | 41.42 |
| Lajos Ronyai | 2 | 48 | 6.51 |
| Balazs Vass | 3 | 8 | 2.83 |
| Laszlo Gyimothi | 4 | 1 | 0.69 |