ZHUO Tao, ZHAN Ying. Scheduling Model Cloud Computing Resource Based on Improved Artificial Bee Colony Algorithm[J]. Microelectronics & Computer, 2014, 31(7): 147-150,155.
Citation: ZHUO Tao, ZHAN Ying. Scheduling Model Cloud Computing Resource Based on Improved Artificial Bee Colony Algorithm[J]. Microelectronics & Computer, 2014, 31(7): 147-150,155.

Scheduling Model Cloud Computing Resource Based on Improved Artificial Bee Colony Algorithm

  • The traditional resource scheduling algorithms have some defects such as low resource utilization,this paper proposed a novel cloud computing resource scheduling model based on improved artificial colony algorithm (IABC).Firstly,mathematical model of cloud computing resource scheduling is established,and then artificial colony algorithm is used to solve this problem,and the optimal value of individual and random vector are introduced into the colony search process to accelerate search speed and improve the search ability,finally the optimal scheduling scheme of cloud computing is found and the simulation experiments is carried out test performance.The simulation results show that the proposed algorithm has solved the defects of traditional resource scheduling algorithm and has improved the utilization rate of the cloud computing resources and significantly reduce the completion time of the task.
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