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dc.contributor.authorPendse, Ravi
dc.contributor.authorWanichworananat, N.
dc.date.accessioned2011-09-29T16:57:07Z
dc.date.available2011-09-29T16:57:07Z
dc.date.issued2003-09
dc.identifier.citationN. Wanichworananat and R. Pendse, A Traffic Engineering Approach Employing Genetic Algorithms over MPLS Networks, Proceedings of the JCIS 2003, Raleigh, NC. September 2003. pp. 401 404.en_US
dc.identifier.urihttp://hdl.handle.net/10057/3851
dc.descriptionRestricted access due to publisher's copyright restrictions. The full text of this item cannot be currently accessed in SOAR.en_US
dc.description.abstractIn conventional IP networks, packets are routed along the shortest path based on a static link-cost metric. This shortest-path routing approach such as in RIP, EIGRP, and OSPF works well; however, under heavy loads, it can lead to long delays and unbalanced traffic distribution, which creates congestion hot spots in the network where some links remain underutilized. These problems occur because bandwidth availability and traffic characteristics are not considered in routing decisions. The genetic algorithm technique is a prominent technique that can be used to solve the optimization problems. Its appeal is due to the fact that it is computationally simple, yet provides reliable and sufficiently accurate solutions with powerful parallel search capabilities. Since a routing problem in a computer network can be classified as an optimization problem; therefore, this dissertation proposes a traffic engineering solution using genetic algorithms (GAs) to minimize communication latency and provide an optimal load balancing. By combining advantages of the MPLS technology and RSVP-TE protocol, the Genetic Algorithm based Traffic Engineering can be seamlessly integrated into the Internet Protocolen_US
dc.language.isoen_USen_US
dc.publisherWichita State Universityen_US
dc.relation.ispartofseriesProceedings of the JCIS 2003;pp.401-404
dc.titleA traffic engineering approach employing genetic algorithms over MPLS networksen_US
dc.typeConference paperen_US
dc.description.versionPeer reviewed article
dc.rights.holder© Wichita State University, 2003


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