Ant Colony Optimization Computing Resource Allocation Algorithm Based on Cloud Computing Environment

Ant colony algorithm is a kind of intelligent bionic algorithm. It is based on the observation of ant's food hunting in the nature, which finds that ants always find shortest path between their nest and food source. The main principle is ants can release pheromone and percept its concentration to identify and determine the next step, and release a certain concentration of pheromone according to the path length after food source is founded. The higher the pheromone concentration of the path, the greater chances of the path is choose. With positive feedback mechanism and robustness, ant colony algorithm is widely studied and improved since put forward. As ant colony algorithm shows great advantage in solving combinatorial optimization problems. Through the simulation analysis and comparison of grid, this algorithm can meet the requirements of the cloud computing environment, and get more response time and better quality, which is more suitable for cloud environment.