Title
Traffic Engineering in SDN with Cultural Algorithms
Abstract
The huge Internet traffic growth and the applications heterogeneity have requested great resilience from the communication networks and made the provision of Quality of Service (QoS) to the applications challenging, where the packet routing presents a fundamental role. Currently, the Shortest Path First (SPF) algorithm predominates the routes computation in the networks and it composes the Open Shortest Path First (OSPF) protocol. Although several improvements have been proposed, they are not able to meet the current demands stemming from the transmission of super-connected global events and the live view culture, which have generated data traffic beyond the OSPF forwarding capability. In this regard, this work explores traffic engineering in a software-defined network (SDN) through a hybrid approach based on genetic and cultural algorithms.
Year
DOI
Venue
2018
10.1109/LA-CCI.2018.8625225
2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI)
Keywords
Field
DocType
routing,load-balancing,genetic algorithm,cultural algorithm
Open Shortest Path First,Telecommunications network,Shortest path problem,Load balancing (computing),Computer science,Quality of service,Algorithm,Cultural algorithm,Traffic engineering,Internet traffic
Conference
ISBN
Citations 
PageRank 
978-1-5386-4627-4
0
0.34
References 
Authors
4
3