Elastic Adaptive Network Slicing Scheme Based on Multi-Priority Cooperative Prediction in Fi-Wi Access Network

Abstract

With the development of information technology, optical access network gradually presents the characteristics of multi-domain, multi-layer and multi-vendor. The network slicing technology provides a feasible scheme for flexible management of heterogeneous resources. Fi-Wi access network has attracted much attention because of its unique advantages in integrating with network slicing technology. An elastic adaptive network slicing scheme based on multi-priority cooperative prediction in Fi-Wi access network is proposed in this paper. In this scheme, priority model is used to sort the processing order of requests to reduce the delay of delay-sensitive requests and depth-first search algorithm is used to select links with more idle resources to ensure more uniform resource allocation in access network. At the same time, LSTM model is used to predict the traffic, and the resource boundary is changed in advance to offset the extra delay caused by moving the resource isolation boundary when the in-chip reserved resources are insufficient. Simulation results show that the proposed scheme can not only preferentially process delay-sensitive requests, but also select links that reserve more resources for requests. In addition, compared with static slicing and dynamic slicing based on DES prediction, the proposed scheme has lower bandwidth blocking probablity.