Abstract:

The ant colony algorithm has great significance in solving composition optimization problems. However, the traditional ant colony scheduling algorithm has some drawbacks such as slow searching speed and easy to fall into local optimum. In view of this situation, combining the ant colony algorithm with the cuckoo search algorithm, we propose a hybrid algorithm (ACOCS) for resource scheduling in cloud environment. This method not only effectively preserves the high accuracy and robustness of the ant colony algorithm , but also integrates the rapid global search capability feature of the cuckoo search algorithm . Simulation results show that the proposed ACOCS scheduling strategy is better than the ant colony algorithm. It not only reduces the response time required for effective scheduling, but also improves the system resource utilization to some extent.

Key words: scheduling;ant colony algorithm;cuckoo search