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《Electronic Measurement Technology》 2014-06
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Load balancing strategy based on improved genetic algorithm

Yang Yue;Ruan Yaduan;Chen Qimei;Communication Technique Research Center of Nanjing University;  
The fast development of mobile internet and cloud computing introduces a new mobile service architectureMobile Cloud Computing(MCC).We propose a new load balancing strategy based on the improved genetic algorithm to make better utilization of the resources in the mobile cloud environment.This algorithm applies multi-target fitness function and self-adaptive crossover and mutation operator,and solves the problem about slow convergence and falling into suboptimal convergence solution of the Standard Genetic Algorithm(SGA).The Cloudsim platform is used for simulation and the result shows the optimized algorithm can suit the mobile cloud environment well and get better load balancing solution.
【Fund】: 国家科技重大专项(2011ZX03005-004-03);; 江苏省科技厅(BE2011822)项目
【CateGory Index】: TP18
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