Problem Statement and Requirement for Inband Flow Learning
draft-hwyh-ippm-ps-inband-flow-learning-03
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Liuyan Han , Minxue Wang , Xuanxuan Wang , Jinming Huang | ||
| Last updated | 2024-01-27 (Latest revision 2023-07-27) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
On-path telemetry techniques can provide high-precision inband flow insight and real-time network performance monitoring. Although they are benefical, network operators still face challenges applying such techniques, especially flow identification when deploying flow- oriented monitoring on a large scale. This document introduces the real network scenarios, and intends to address the problems by proposing the requirements of inband flow learning mechenism that can be used to implement inband flow information telemetry for deployability and flexibility.
Authors
Liuyan Han
Minxue Wang
Xuanxuan Wang
Jinming Huang
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)