Publikation: Dissertationsschrift

Dynamic routing optimization using traffic prediction

Grunddaten
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Dynamic routing optimization using traffic prediction
Erscheinungsjahr	2014
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
Letzte Änderung	14.02.2015 02:13:48
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/47111
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Abstract

In this dissertation, a new efficient routing maintenance algorithm, called Predicting of Future Load-based Routing (PFLR), is introduced for optimizing the routing performance in IP-based networks. The main idea of PFLR algorithm is combing the predicted link load with the current link load with an effective method to optimize the link weights and so reduce the network congestions. Another research objective is introducing a new efficient Traffic Engineering (TE) algorithm, called Prediction-based Decentralized Routing (PDR) algorithm, which is fully decentralized and self-organized approach.

Autor

Turky, Abutaleb

Einrichtung

IEF/Bereich Informatik