Multi-stage network recovery considering traffic demand after a large-scale failure

Genda, Kouichi; Kamamura, Shohei

doi:10.1109/icc.2016.7510681

Cited by 8 publications

(1 citation statement)

References 17 publications

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“…In [31], the authors investigated a network recovery mechanism when a network has experienced massive failures from which recovery could take a long time and may involve several stages before the network can be fully back to its original state. e authors established that unlike in cases of minimal, predictable failures for which network can be quickly restored by preplanning redundant components and/or alternative paths, large-scale failures actually require gradual recovery of traffic.…”

Section: Line Restoration For Expansive Networkmentioning

confidence: 99%

Network Restoration for Next-Generation Communication and Computing Networks

Awoyemi

Alfa

Maharaj

2018

Journal of Computer Networks and Communications

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Network failures are undesirable but inevitable occurrences for most modern communication and computing networks. A good network design must be robust enough to handle sudden failures, maintain traffic flow, and restore failed parts of the network within a permissible time frame, at the lowest cost achievable and with as little extra complexity in the network as possible. Emerging next-generation (xG) communication and computing networks such as fifth-generation networks, software-defined networks, and internet-of-things networks have promises of fast speeds, impressive data rates, and remarkable reliability. To achieve these promises, these complex and dynamic xG networks must be built with low failure possibilities, high network restoration capacity, and quick failure recovery capabilities. Hence, improved network restoration models have to be developed and incorporated in their design. In this paper, a comprehensive study on network restoration mechanisms that are being developed for addressing network failures in current and emerging xG networks is carried out. Open-ended problems are identified, while invaluable ideas for better adaptation of network restoration to evolving xG communication and computing paradigms are discussed.

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Section: Line Restoration For Expansive Networkmentioning

confidence: 99%