DocumentCode
3155219
Title
The Research of Load Balance Improvement in Industrial Networks
Author
Li, Feng ; Xiao, Yanjun ; Zhang, Qizhi
Author_Institution
Shanghai Jiao Tong Univ., Shanghai
fYear
2007
fDate
22-24 Aug. 2007
Firstpage
39
Lastpage
43
Abstract
The network load balance problem in an industrial network is investigated and this problem is equivalent to an optimization problem: the network partition should reduce the inter-network communication time and simultaneously minimize the communication time difference over the sub-networks for the sake of real-time and reliability performance. Simultaneously the switching capability must be respected when partitioning devices into sub-networks, which sets the constraints of the network optimization problem. The genetic algorithm strategy is proposed to find near-optimal solution for the network partition problem. Then a simulation research is carried out to investigate the capability of the proposed genetic algorithm, and the simulation result shows significant improvement of the network performance after the network optimization.
Keywords
computer network reliability; genetic algorithms; local area networks; genetic algorithm strategy; industrial networks; internetwork communication time; load balance improvement; network partition; optimization problem; partitioning devices; switching capability; Automation; Communication industry; Communication switching; Ethernet networks; Genetic algorithms; Local area networks; Network topology; Telecommunication network reliability; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1009-5
Electronic_ISBN
978-1-4244-1009-5
Type
conf
DOI
10.1109/CHINACOM.2007.4469323
Filename
4469323
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