Abstract: As one of the core problems of cloud computing,the efficiency of scheduling algorithm has a direct impact on the operation capacity of the system.Swarm intelligence algorithm,with good coordination and overall stability,is one kind of swarm intelligence algorithms which imitates swarm intelligence in the process of evolution swarm.This paper presented a calculation method of bacteria foraging algorithm applied to cloud computing resource scheduling algorithm,which can be used to control the node allocation of cloud computing resource scheduling by using bacterial swarm algorithm to copy and perish the nodes.According to the problem of too much resource change interval caused by the random selection chemotax in the traditional flora swarm algorithm,the bacteria foraging CBFO optimization algorithm based on Quorum Sensing mechanism and the MPSOBS optimization algorithm introducing bacteria chemotaxis action in the process of group collaboration were proposed in this paper.According to the environment around the nodes and the situation of the whole flora,the chemotaxis factor is selected to make the process of chemotaxis more accurate,which is implemented on the cloud computing platform.The simulation results show that the proposed algorithm is more efficient than the BFO algorithm in terms of task execution time,system load balancing and resource service quality,and can improve the service quality of cloud applications while improving resource utilization.

Key words: Bacterial foraging, Cloud computing, Resource scheduling, Swarm intelligence