Cloud Computing System Scheduling Model Based On Bayesian Network

Cloud computing platform has also posed challenges to resource management and service scheduling using virtualization technology while allowing software applications to become more efficient. On the basis of making study on difference in scheduling between "SaaS" and "IaaS", this paper focuses on resource scheduling of architecture layer, proposing scheduling model based on stochastic theory, and describes the scheduling of the layer as a problem of multi-objective optimization. In addition to service quality requirements, this paper also considers the important feature of cloud service of flexibility, and provides policy for matching task scheduling and elasticity copy service. Experiments show that the design of the scheduling mechanism has optimized the overall performance of the cloud platform, which has achieved a better load balancing and resource utilization.