DocumentCode :
2696102
Title :
Optimizing link weight in OSPF routing under unknown traffic matrices
Author :
Cheng, Xiao-mei ; Wang, Sheng ; Wang, Xiong
Author_Institution :
Key Lab. of Broadband Opt. Fiber Transm. & Commun. Networks, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2009
fDate :
20-23 Oct. 2009
Firstpage :
340
Lastpage :
343
Abstract :
An important traffic engineering problem for OSPF networks is the determination of optimal link weights. In this paper, we assume that the traffic matrix, which specifies traffic load between every source-destination pair in the network, is unknown and varies with time, but that always lies inside an explicitly defined region. Our goal is to compute an optimal link weights that minimizes maximum link utilization for all traffic matrices inside the bounding region. We first present a mixed-integer programming formulation to compute the optimal link weights. We then present a heuristic algorithm to find the optimal weights. Our simulations show that the proposed algorithm not only performs better than existing weight setting schemes in terms of minimizing congestion ratio, but also can achieve solution which is close to the optimal solutions.
Keywords :
integer programming; routing protocols; telecommunication traffic; OSPF routing; maximum link utilization; mixed-integer programming formulation; open shortest path first routing; optimal link weights; source-destination pair; traffic engineering problem; unknown traffic matrices; Communication networks; Computer networks; Cost function; Genetic algorithms; Heuristic algorithms; Laboratories; Optical fibers; Routing protocols; Telecommunication traffic; Traffic control; Link Weight; OSPF Networks; Traffic Engineering; Uncertain Traffic Matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks, 2009. LCN 2009. IEEE 34th Conference on
Conference_Location :
Zurich
Print_ISBN :
978-1-4244-4488-5
Electronic_ISBN :
978-1-4244-4487-8
Type :
conf
DOI :
10.1109/LCN.2009.5355109
Filename :
5355109
Link To Document :
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