Optimization of Cloud Database Route Scheduling Based on Combination of Genetic Algorithm and Ant Colony Algorithm

For the cloud database route scheduling problem, this paper designed a cloud database route scheduling algorithm according to the dynamic combination of the genetic algorithm and ant colony algorithm. The initial solution got by the Genetic Algorithm was transformed into the pheromone initial value, which was needed by ant colony algorithm, then the optimal solution by the ant colony algorithm was obtained. Genetic control function was set up to control the opportunity of two algorithm's fusion. This paper proposed a reasonable algorithm, which could find the required database rapidly and effectively, reduce the dynamical load of cloud database routing, and improve the efficiency of cloud computing. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]