Abstract:

Infrastructure as a service (IaaS) mode cloud training is a kind of equipment simulated training mode developed from IaaS mode cloud computing.In IaaS mode cloud training, resource scheduling based on users’ demands is an important prerequisite for improving training efficiency and effect.Characters of resource requirements are analyzed and the threshold method is adopted to preprocess the data.Then a selfadaptive prediction method using subtractivefuzzy clustering based fuzzy neural network (SFCFNN) prediction method is proposed. Self adjusting learning rate and momentum weight are introduced into the method to improve the convergence and stability.Based on prediction results, the scheduler allocates resources for users dynamically.Statistics indexes are used for validity check and results show that the proposed method can be used for accurate resource demands predicting and resource dynamic scheduling.The resource utilization rate and training effect are improved.