Title :
The Research of Load Balance Improvement in Industrial Networks
Author :
Li, Feng ; Xiao, Yanjun ; Zhang, Qizhi
Author_Institution :
Shanghai Jiao Tong Univ., Shanghai
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;
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
DOI :
10.1109/CHINACOM.2007.4469323