Abstract
In order to further realize the optimization of resource scheduling in cloud computing environment, this paper proposes an improved wolf pack algorithm (TS_WPA) based on tabu search. The main improvement strategy is to add a tabu list to the traditional wolf pack algorithm, integrate the tabu search algorithm into the wolf pack algorithm, and dynamically modify the step size factor in the algorithm. The simulation experiment results show that the improved wolf pack algorithm has improved convergence accuracy and speed. The problems that the ordinary WPA algorithm is easy to fall into the local optimal solution and the excessive calculation resource consumption have been solved to a certain extent, which has been greatly improved. The ability of resource scheduling in the cloud environment is realized, and the effective utilization of resources is realized.
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