An Improved Adaptive Genetic Algorithm in Cloud Computing
Baofang Hu, Xiuli Sun, Ying Kui Li, Hongfeng Sun · 2012
Aiming at the task scheduling algorithm of cloud environment, an improved adaptive genetic algorithm (PAGA) based on priority mechanism is proposed. This approach for job scheduling not only ensures to make the least execution time but also guarantees the QoS requirement of customer job. An integrated fitness function based on priority is designed to indicate optimized object. This method has advantages of simplifying the iterative operation and reducing iteration times. The proposed algorithm is being compared with the other scheduling algorithms. The experimental result shows that this algorithm has high convergence rate.