IP Layer Metrics for 5G Edge Computing Service
draft-dunbar-ippm-5g-edge-compute-ip-layer-metrics-01

Document Type Active Internet-Draft (individual)
Authors Linda Dunbar  , Haoyu Song  , John Kaippallimalil 
Last updated 2020-11-02
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Network Working Group                                   L. Dunbar
Internet Draft                                            H. Song
                                                J. Kaippallimalil
Intended status: Standard                               Futurewei
Expires: May 2, 2021

                                                 November 2, 2020

           IP Layer Metrics for 5G Edge Computing Service
       draft-dunbar-ippm-5g-edge-compute-ip-layer-metrics-01

Abstract

   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.

Status of this Memo

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   provisions of BCP 78 and BCP 79.

   This Internet-Draft is submitted in full conformance with the
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         IP Layer Metrics for 5G Edge Computing Services

   

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Table of Contents

   1. Introduction..............................................3
      1.1. 5G Edge Computing Background.........................3
      1.2. Problem 1: Selecting 5G Edge Application Location....4
      1.3. Problem 2: UE mobility creates unbalanced anycast
      distribution..............................................5
   2. Conventions used in this document.........................7
   3. IP-Layer Metrics Definitions for 5G EC services...........9
      3.1. IP-Layer Application ID..............................9
      3.2. IP-Layer metric for App Server Load Measurement......9
      3.3. Capacity Index in the overall cost..................12
      3.4. Site Preference Index in the overall cost...........12
      3.5. RTT to an ANYCAST Address in 5G EC..................13
   4. Algorithm in Selecting the optimal Target Location.......14

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         IP Layer Metrics for 5G Edge Computing Services

   5. Scope of IP Layer Metrics Advertisement..................14
   6. Manageability Considerations.............................15
   7. Security Considerations..................................16
   8. IANA Considerations......................................16
   9. References...............................................16
      9.1. Normative References................................16
      9.2. Informative References..............................16
   10. Acknowledgments.........................................17

1. Introduction
1.1. 5G Edge Computing Background

   In 5G Edge Computing environment [3GPP-EdgeComputing], one
   Application can have multiple Application Servers hosted in
   different Edge Computing data centers that are close in
   proximity. Those Edge Computing (mini) data centers are
   usually very close to, or co-located with, 5G base stations,
   with the goal to minimize latency and optimize the user
   experience.

   When a UE (User Equipment) initiates application packets
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