Towards Computing and Network Convergence: QOE-Oriented Service Anycast Based on SRV6
Zicheng Wang, Yetong Wang, Gao Xian, Shuai Wu, Wei Lin · 2022
The new mobile Internet services represented by extended Reality (XR) have brought new challenges to computing and networks. A new generation of Information and Communication Technology (ICT) infrastructure with both computing and communication capabilities is being promoted. Traditional load balancing technologies cannot sense the connection between users and services. It is also difficult to support large-scale distributed computing service instances, so the service experience provided can be poor.In this paper a service anycast system based on a Segment Routing over IPv6 (SRv6) data plane is proposed, which can provide a Quality of Experience (QoE)-oriented load balancing capability for the network according to the obtained status information of network and computing service instances. Besides, an IP address identification mechanism is also proposed to help the control plane handle traffic engineering policies, and to support efficient service resource discovery, seamless mobility, and service continuity.