2017 International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT) 2017
DOI: 10.1109/icieect.2017.7916533
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Demonstration of single link failure recovery using Bellman Ford and Dijikstra algorithm in SDN

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Cited by 20 publications
(8 citation statements)
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“…• In the work of Waleed et al, 16 the Dijkstra Algorithm is more efficient in calculating a path, compared to the Bellman Ford Algorithm. Hence, when computing a route whose source and destination are src and dst in a packet, Dijkstra Algorithm is applied in this section.…”
Section: Hyperflow Controllermentioning
confidence: 99%
See 1 more Smart Citation
“…• In the work of Waleed et al, 16 the Dijkstra Algorithm is more efficient in calculating a path, compared to the Bellman Ford Algorithm. Hence, when computing a route whose source and destination are src and dst in a packet, Dijkstra Algorithm is applied in this section.…”
Section: Hyperflow Controllermentioning
confidence: 99%
“…Otherwise, the port's value will be shown by the application of the function getNext and the another situation is described in formula (16).…”
Section: Controllerprocessormentioning
confidence: 99%
“…To reduce the number of messages between the controller and switches, Zhang et al aggregated the affected flows to a single flow with a new label and then calculated the restoration paths to recover the network. Waleed et al, used Bellman Ford and Dijkstra algorithms to restore the network from a link failure. The presented model provided a shortest path with reducing delay and offered more efficient bandwidth through redundant links.…”
Section: Related Workmentioning
confidence: 99%
“…The physical distance is calculated by the distance vector (DV) routing parameters, such as number of hops using the Bellman-Ford algorithm, and the logical distance is determined using well-established methods, such as the link state (LS) cost-based link state routing using the Dijkstra algorithm and hybrid Bellman-Ford-Dijkstra algorithm [16]. These algorithms aid in the reduction of convergence delays for link failure recovery [17]. The status of normal, congested, abnormal, and so on can be determined by a comparison with previous traffic data.…”
Section: Inference Engine Using Threshold Tablementioning
confidence: 99%