Abstract

This paper presents a traffic engineering framework able to optimize OSPF weight setting administrative procedures. Using the proposed framework, enhanced OSPF configurations are now provided to network administrators in order to effectively improve the QoS performance of the corresponding network domain. The envisaged NP-hard optimization problem is faced resorting to Evolutionary Algorithms, which allocate OSPF weights guided by a bi-objective function. The results presented in this work show that the proposed optimization tool clearly outperforms common weight setting heuristics and, even under unfavorable scenarios, effective QoS improvement is achieved in the network domain. (undefined)


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/11908852_4
http://repositorium.sdum.uminho.pt/bitstream/1822/5742/1/IPOM-2006.pdf,
https://dblp.uni-trier.de/db/conf/ipom/ipom2006.html#SousaRRC06,
https://www.scipedia.com/public/Sousa_et_al_2006a,
http://repositorium.sdum.uminho.pt/handle/1822/5742,
http://discovery.ucl.ac.uk/42523,
https://rd.springer.com/chapter/10.1007/11908852_4,
https://academic.microsoft.com/#/detail/1552210618
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Published on 01/01/2006

Volume 2006, 2006
DOI: 10.1007/11908852_4
Licence: CC BY-NC-SA license

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