Abstract: Aiming at the degrading system performance that bursty workloads bring in cloud computing,a resource deployment model based on error back-propagation neural network was proposed to resolve the problems referred to above．A network module is started automatically when the beginning of bursty workloads is judeged．The prediction of parameter adjustment value is carried out by using pre-trained network to achieve the purpose of tracking dynamically the changing of underlying resource and outside world task in cloud computing system．The results of simulation in CloudSim prove that the response speed of resource deployment can be improved efficiently by bringing neural network module．

Key words: Cloud computing,Neural network,Resource allocation,Bursty workloads