An On-Demand Customized Service Function Chain Method with Quality of Service Guarantee
Hongbo Li, Ming Chen, Yan Gao · 2023
With the increasing diversification of the requirements of network services in enterprise networks, if the Service Function Chain (SFC) with Quality of Service (QoS) guarantee can be customized on demand to satisfy network users, it will be more economical and effective to satisfy network users when there are various Virtual Network Functions (VNFs) running on multiple servers. Therefore, we propose an SFC path search algorithm based on Multi-Attribute Optimization on Q-Learning (MAOQL). To find a path, whose performance can meet the user’s network service QoS requirements, to connect the VNF sequence located on the server in an enterprise network. We design the SRv6 network scenario based on network function virtualization technology and implement a prototype system for searching SFC paths based on MAOQL. The experimental results show that the proposed method of searching SFC path based on MAOQL algorithm can provide SFC with QoS guarantee.