LBSG: A Load Balancing Scenario Based on Genetic Algorithm

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 236)

Abstract

Resource load balancing problem of the large-scale and heterogeneous network was studied. The problem was modeled and analyzed theoretically at first, and an objective function which satisfied the host and network constraints was designed. Then, a multi-objective minimum spanning tree problem was researched, and then a multi-objective genetic algorithm was devised. At last, a dynamic load balancing scenario was proposed. The simulation results show that, LBSG can balance the load effectively between the light-load nodes and the overload ones. Besides, the performance of the scenario is obviously better in a larger scale network.

Keywords

Load balancing Multi-objective Genetic algorithm Distributed 

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Center of Information Technology, China Nuclear Power Technology Research InstituteChina Guangdong Nuclear Power Holding Co., LtdShenzhenChina

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