Cloud computing environment resource scheduling strategy based on QPSFLA algorithm

Cloud computing environment resource scheduling strategy based on QPSFLA algorithm

He Zhiming Publicity Gao Lin

In order to solve the problem of resource scheduling optimization in cloud computing environment, a new improved algorithm (QPSFLA algorithm) based on quantum particle swarm strategy (PSO) is proposed, which aims at introducing quantum particle swarm search strategy to prevent the traditional blended frog jumping algorithm from falling into local optimum. The simulation results on the Cloudsim platform show that the QPSFLA algorithm can achieve the desired effect, and it is more efficient than the platform self-band algorithm and the traditional hybrid frog jump algorithm.

Cloud computing environment resource scheduling strategy based on QPSFLA algorithm