1. CFN-Dyncast Overview [EN]
Publication URL: PDF - CFN-Dyncast Overview
Compute First Networking (CFN) leverages both computing and networking status to help determine the optimal edge among multiple edge sites with different geographic locations to serve a specific edge computing request.
1. Dynamic-Anycast in Compute First Networking (CFN-Dyncast) Use Cases and Problem Statement
Publication URL: https://tools.ietf.org/html/draft-geng-rtgwg-cfn-dyncast-ps-usecase
This draft provides an overview of scenarios and problems associated.
Service providers are exploring the edge computing to achieve better response time, control over data and carbon energy saving by moving the computing services towards the edge of the network in scenarios of 5G MEC (Multi-access Edge Computing), virtualized central office, and others. Providing services by sharing computing resources from multiple edges is emerging and becoming more and more useful for computationally intensive tasks. The service nodes attached to multiple edges normally have two key features, service equivalency and service dynamism. Ideally they should serve the service in a computational balanced way. However lots of approaches dispatch the service in a static way, e.g., to the geographically closest edge, and they may cause unbalanced usage of computing resources at edges which further degrades user experience and system utilization.
Networking taking account of computing resource metrics as one of its top parameters is called Compute First Networking (CFN) in this document. The document identifies several key areas which require more investigations in architecture and protocol to achieve the balanced computing and networking resource utilization among edges in CFN.
2. Architecture of Dynamic-Anycast in Compute First Networking (CFN-Dyncast)
Publication URL: https://tools.ietf.org/html/draft-li-rtgwg-cfn-dyncast-architecture
This document describes an architecture for the Dynamic Anycast(Dyncast) in Compute First Networking (CFN). It provides an overview, a description of the various components, and a workflow example showing how to provide a balanced multi-edge based service in terms of both computing and networking resources through dynamic anycast in real time.
3. BGP NLRI App Meta Data for 5G Edge Computing Service
Publication URL: https://tools.ietf.org/html/draft-dunbar-idr-5g-edge-compute-app-meta-data
This draft describes a new BGP Network Layer Reachability Information (BGP NLRI) Path Attribute, AppMetaData, that can distribute the 5G Edge Computing App running status and environment, so that other routers in the 5G Local Data Network can make intelligent decision on optimized forwarding of flows from UEs. The goal is to improve latency and performance for 5G Edge Computing services.
4. OSPF extension for 5G Edge Computing Service
Publication URL: https://tools.ietf.org/html/draft-dunbar-lsr-5g-edge-compute-ospf-ext
This draft describes an OSPF extension that can distribute the 5G Edge Computing App running status and environment, so that other routers in the 5G Local Data Network can make intelligent decision on optimized forwarding of flows from UEs. The goal is to improve latency and performance for 5G Edge Computing services.
5. IP Layer Metrics for 5G Edge Computing Service
Publication URL: https://tools.ietf.org/html/draft-dunbar-ippm-5g-edge-compute-ip-layer-metrics
This draft describes the IP Layer metrics and methods to measure the Edge Computing Servers running status and environment for IP networks to select the optimal Edge Computing server location in 5G Edge Computing (EC) environment. Those measurements are for IP network to dynamically optimize the forwarding of 5G edge computing service without any knowledge above IP layer.
6. IPv6 Solution for 5G Edge Computing Sticky Service
Publication URL: https://tools.ietf.org/html/draft-dunbar-6man-5g-edge-compute-sticky-service
This draft describes an IPv6 solution that enables packets from an application on a UE (User Equipment) sticking to the same application server location when the UE moves from one 5G cell site to another.
7. CFN-dyncast Side Meeting @IETF109
Publication URL: https://github.com/cfn-dyncast/ietf109