List of shared risk link groups representing regional failures with limited size
@article{Tapolcai2017ListOS, title={List of shared risk link groups representing regional failures with limited size}, author={J{\'a}nos Tapolcai and Lajos R{\'o}nyai and B{\'a}lazs Vass and L{\'a}szl{\'o} Gyim{\'o}thi}, journal={IEEE INFOCOM 2017 - IEEE Conference on Computer Communications}, year={2017}, pages={1-9} }
Shared Risk Link Group (SRLG) is a failure the network is prepared for, which contains a set of links subject to a common risk of single failure. During planning a backbone network, the list of SRLGs must be defined very carefully, because leaving out one likely failure event will significantly degrade the observed reliability of the network. Regional failures are manifested at multiple locations of the network, which are physically close to each other. In this paper we show that operators…
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References
SHOWING 1-10 OF 35 REFERENCES
SRLG-diverse routing with the star property
- Computer Science, Mathematics2013 9th International Conference on the Design of Reliable Communication Networks (DRCN)
- 2013
This paper provides counterexamples to the polynomial time algorithm proposed in [1] for computing a pair of SRLG-disjoint paths in networks with SRLGs satisfying the star property, and proves that this problem is in fact NP-complete.
Measuring the survivability of networks to geographic correlated failures
- BusinessOpt. Switch. Netw.
- 2014
Finding critical regions in a network
- Computer Science2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
- 2013
This paper studies the problem of finding a critical region - that is, a part of the network that can be enclosed by a given elementary figure with a predetermined size - whose removal would lead to the highest network disruption.
The resilience of WDM networks to probabilistic geographical failures
- Computer ScienceINFOCOM 2011
- 2011
The paper uses computational geometric tools to provide efficient algorithms to identify vulnerable points within the network under various metrics and obtains numerical results for specific backbone networks, thereby demonstrating the applicability of the algorithms to real-world scenarios.
Power grid vulnerability to geographically correlated failures — Analysis and control implications
- EngineeringIEEE INFOCOM 2014 - IEEE Conference on Computer Communications
- 2014
Inspired by methods developed for network-survivability analysis, it is shown how to identify the most vulnerable locations in the network and can indicate potential locations for grid monitoring, and hence, will have impact on the deployment of the smart-grid networking infrastructure.
Assessing the Vulnerability of the Fiber Infrastructure to Disasters
- Computer ScienceIEEE INFOCOM 2009
- 2009
A novel approach that aims to identify the most vulnerable parts of the network, that is, the locations of disasters that would have the maximum disruptive effect on the network in terms of capacity and connectivity, and obtains numerical results for a specific backbone network, thereby demonstrating the applicability of the algorithms to real-world networks.
Finding geographic vulnerabilities in multilayer networks using reduced network state enumeration
- Computer Science2015 11th International Conference on the Design of Reliable Communication Networks (DRCN)
- 2015
A state space analysis method is presented that analyzes multilayer networks for geographic vulnerabilities that uses either the inability to provision an upper layer service and/or increased costs to provision as the criteria for network failure.
Studying (non-planar) road networks through an algorithmic lens
- Computer ScienceGIS '08
- 2008
This paper studies real-world road networks from an algorithmic perspective, focusing on empirical studies that yield useful properties of road networks that can be exploited in the design of fast…
Design of Disaster-Resilient Optical Datacenter Networks
- Computer ScienceJournal of Lightwave Technology
- 2012
The disaster protection scheme exploiting anycasting provides more protection, but uses less capacity than dedicated single-link failure protection, and it is shown that a reasonable number of datacenters and selective content replicas with intelligent network design can provide survivability to disasters while supporting user demands.
Detection of spatially-close fiber segments in optical networks
- Computer Science2016 12th International Conference on the Design of Reliable Communication Networks (DRCN)
- 2016
Three algorithms for detecting all the spatially-close fiber segments of different fibers, a polynomial-time algorithm for finding the spatial-close intervals of a fiber to a set of other fibers, and a fast exact algorithm for grouping spatially -close fibers using the minimum number of distinct risk groups are proposed.