Method and device for predicting virtual network resource states

Abstract

The invention discloses a method for predicting virtual network resource states so as to realize the purpose of predicting resource state data of virtual network elements according to expected targets of service quality elements. For example, the method can comprise the steps that a historical data set composed of historical quality monitoring data and historical resource state monitoring data is obtained; the service quality elements and the virtual network elements are defined as Bayes network nodes, Bayes network learning is conducted by using the historical data set, a Bayes network and a conditional probability table corresponding to all the nodes in the Bayes network are established, by using the directed relationships between the nodes in the Bayes network and the conditional probability table corresponding to the nodes, maximum probability values of the nodes corresponding to the virtual network elements are found out on the condition that the value of the node corresponding to the specific service quality element is within the range of set quality data, and the prediction resource state data of the virtual network elements are obtained. In addition, the embodiment of the invention provides a device for predicting the virtual network resource states.

Description

technical field [0001] The invention relates to a virtual network, in particular to a method and device for predicting the status of virtual network resources. Background technique [0002] A virtual network is a computer network that includes virtual network links, where virtual network elements include virtual nodes and virtual links connecting virtual nodes. Based on network virtualization technology, one or more virtual networks can be built and run on the basis of physical networks. Therefore, virtual networks lay the foundation for future network architectures that enable more flexible resource provisioning and delivery methods. [0003] In order to use virtual networks to provide services, service providers can rent virtual network resources from infrastructure providers through cloud computing platforms, deploy business systems and provide services to their target customer groups. At present, in order to optimize the utilization of network resources, infrastructure...

AI Technical Summary

Problems solved by technology

[0004] However, the quality of service requirements change dynamically over time, and the adjustment of the virtual network structure based on the meta-heuristic algorithm has no sense of the expected goals of the quality of service elements (such as the amount of resources used by a service, the number of simultaneous access requests to a service, etc.), and cannot be adjusted according to the service quality. Changes in demand for quality elements predict the status of virtual network resources, so it is impossible to dynamically adjust the virtual network structure according to changes in demand for service quality elements

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