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Autonomous optimization of Next Generation Networks

Walter, U. 1
1 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

For an efficient usage of the transmission capacity of a QoS-supporting Next Generation Network, it is beneficial to influence the routing of traffic flows by the optimization of link metrics. Deploying a Network Admission Control at the network border helps to comply with assured service guarantees as it can effectively protect against overload situations, especially in times of varying traffic matrices or failures. Since the manual adaptation of link metrics and NAC budgets is neither quick nor efficient, it makes sense to integrate these optimization algorithms into a self-configuration tool, which is able to autonomously keep the network in the best possible operational condition. This paper presents a management system that re-optimizes link metrics and NAC budgets when necessary. Different scenarios show the benefits of this approach for an increased network resilience and efficient operation.

Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2007
Sprache Englisch
Identifikator ISBN: 978-3-540-74916-5
ISSN: 1611-3349
KITopen-ID: 1000088147
Erschienen in Self-Organizing Systems : Second International Workshop, IWSOS 2007, The Lake District, UK, September 11-13, 2007. Ed.: D. Hutchison
Verlag Springer Verlag
Seiten 161-175
Serie Lecture Notes in Computer Science ; 4725
Nachgewiesen in Scopus
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