Inband Flow Learning Framework
draft-hwy-opsawg-ifl-framework-02
| Document | Type |
This is an older version of an Internet-Draft whose latest revision state is "Expired".
Expired & archived
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|---|---|---|---|
| Authors | Liuyan Han , Minxue Wang , Fan Yang , Tianran Zhou | ||
| Last updated | 2023-06-27 (Latest revision 2022-12-24) | ||
| RFC stream | (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This Internet-Draft is no longer active.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
To deploy the inband performance measurement and flow information telemetry on live traffic, this document proposes a framework of an inband and flow based flow information learning mechanism called Inband Flow Learning (IFL). This document also provides different deployment approaches and considerations in practical network deployment.
Authors
Liuyan Han
Minxue Wang
Fan Yang
Tianran Zhou
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)