Abstract:How to give the fullest play to the efficiency of resource scheduling in cloud computing is a hot spot of current research. First of all, resource scheduling model in cloud computing is established and individuals in firefly algorithm and node resources in cloud computing are matched; secondly, the genetic algorithm is introduced into the initialization of individuals in the algorithm and sensory threshold of the updating of algorithm's position is set to adjust the probability for individuals to choose the optimal path; finally, the volatile factor is improved to update the value of fluorescein. Simulation experiment shows that this algorithm can effectively improve the performance of resource scheduling in cloud computing, shorten the time to complete tasks and improve the system's overall processing capacity.