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A Framework for In-situ Flow Information Telemetry
draft-song-opsawg-ifit-framework-17

The information below is for an old version of the document.
Document Type
This is an older version of an Internet-Draft whose latest revision state is "Expired".
Expired & archived
Authors Haoyu Song , Fengwei Qin , Huanan Chen , Jaewhan Jin , Jongyoon Shin
Last updated 2022-08-26 (Latest revision 2022-02-22)
RFC stream (None)
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Stream Stream state (No stream defined)
Consensus boilerplate Unknown
RFC Editor Note (None)
IESG IESG state Expired
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This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:

Abstract

As network scale increases and network operation becomes more sophisticated, existing Operation, Administration, and Maintenance (OAM) methods are no longer sufficient to meet the monitoring and measurement requirements. Emerging data-plane on-path telemetry techniques which provide high-precision flow insight and which issue notifications in real time can supplement existing proactive and reactive methods that run in active and passive modes. These new approaches are collectively known as in-situ flow information telemetry (IFIT). They enable quality of experience for users and applications, and identification of network faults and deficiencies. This document outlines a high-level framework for IFIT to collect and correlate performance measurement information from the network. It identifies the components that coordinate existing protocol tools and telemetry mechanisms, and addresses deployment challenges for flow- oriented on-path telemetry techniques, especially in carrier networks. The document is a guide for system designers applying the referenced techniques. It is also intended to motivate further work to enhance the OAM ecosystem.

Authors

Haoyu Song
Fengwei Qin
Huanan Chen
Jaewhan Jin
Jongyoon Shin

(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)