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Turky,  Abutaleb

Dynamic routing optimization using traffic prediction

Rostock : Universität , 2015

https://doi.org/10.18453/rosdok_id00001473

http://purl.uni-rostock.de/rosdok/id00001473

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.

Dissertation Open Access


Einrichtung :
Fakultät für Informatik und Elektrotechnik
Gutachter :
Cap,  Clemens H.  (Prof. Dr. rer. nat. habil.)
Timmermann,  Dirk  (Prof. Dr.-Ing.)
Timm-Giel,  Andreas  (Prof. Dr.-Ing.)
Jahr der Abgabe:
2014
Jahr der Verteidigung:
2014
Sprache(n) :
Englisch
Schlagworte:
traffic engineering, self organization, neural networks
DDC Klassifikation :
000 Allgemeines, Wissenschaft
URN :
urn:nbn:de:gbv:28-diss2015-0023-9
Persistente URL:
http://purl.uni-rostock.de/rosdok/id00001473
erstellt am:
2015-02-10
zuletzt geändert am:
2018-06-30
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