Pheromone-Based Genetic Algorithm Adaptive Selection Algorithm in Cloud Storage
TIAN Junfeng, LI Weiping · International Journal of Grid and Distributed Computing · 2016
Aiming at the problem of replica selection optimization in cloud storage load balancing technology, a new dynamic selection algorithm based on genetic algorithm(GASA in short ) is proposed.According to the principle of genetic algorithm, the model of dynamic selection strategy based on genetic algorithm is constructed, and then the key steps of the replica selection criteria and genetic algorithm are mapped, and then the optimal solution is obtained by using the probability equation.Lastly.simulation results from cloud test bed.which is based on Optorsim.show that GASA can reduce data access latency and bandwidth consumption.and effectively achieve cloud load balancing between storage nodes and improve the speed of data access.