A new optimization algorithm for multi-dimensional cloud data centre resources scheduling based on PSO
Dong-Sheng Xu1, Feng Zhang2
1Software Institute, Xi'an University, Xi'an 710065, China
2School of Information Engineering, Yulin University, Yulin 719000,China
In order to solve the problem of multidimensional cloud resources low utilization ratio and the high energy consumption of cloud communication between tasks, proposed a new cloud data centre resource scheduling algorithm, which combined resource fusion principle, particle swarm optimization algorithms and taboo search algorithm and it’s with a low-power scheduling computing, storage and bandwidth resources integration scheduling method. Simulation results show that the algorithm has the advantage of cloud resources using stable, high-dimensional cloud resource utilization and low-power cloud data centres.