Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/44576

TitleA framework for improving routing configurations using multi-objective optimization mechanisms
Author(s)Sousa, Pedro
Pereira, Vítor Manuel Sá
Cortez, Paulo
Rio, Miguel
Rocha, Miguel
KeywordsCommunications Software
Routing
Traffic engineering
Network Resilience
Evolutionary algorithms
Multi-Objective Evolutionary Algorithms
Issue dateSep-2016
PublisherUniversity of Split
JournalJournal of Communications Software and Systems
CitationPedro Sousa, Vítor Pereira, Paulo Cortez, Miguel Rio, and Miguel Rocha, A Framework for Improving Routing Configurations using Multi-Objective Optimization Mechanisms, Journal of Communications Software and Systems, VOL. 12, NO. 3, September 2016.
Abstract(s)IP networks are nowadays well established technolo- gies being used to support a myriad of applications and services, thus assuming a crucial role in todays telecommunication sys- tems. Nevertheless, such infrastructures usually require network administrators to perform a wide set of complex planning and management tasks trying to attain adequate network configura- tions. Many of such management tasks can be mathematically for- mulated as NP-hard optimization problems, sometimes involving several objective functions. In this context, this work explores and demonstrates the potential of using computational intelligence methods as optimization engines to tackle complex network op- timization problems. In particular, Multi-objective Evolutionary Algorithms (MOEAs) are used to attain near-optimal link state routing configurations robust to distinct operational conditions. As result, network administrators will be provided with a set of alternative routing configurations representing distinct tradeoffs between the considered optimization goals. The robustness of the proposed methods is illustrated by presenting several multi-objective optimization examples able to improve the performance and resilience levels of a network infrastructure. Moreover, the devised methods are integrated in a freely available Traffic Engineering optimization framework able to be used by network administrators interested in this particular research field.
TypeArticle
URIhttp://hdl.handle.net/1822/44576
ISSN1845-6421
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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