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Instant Congestion Assessment Network (iCAN) for Traffic Engineering

Document Type Expired Internet-Draft (individual)
Expired & archived
Authors Joanna Dang , Bing Liu , Guangming Yang , Kyungtae Lee
Last updated 2020-05-07 (Latest revision 2019-11-04)
RFC stream (None)
Intended RFC status (None)
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This Internet-Draft is no longer active.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:


This draft proposes a new technology named iCAN (instant Congestion Assessment Network), which represents a set of mechanisms running directly on network nodes. These mechanisms allow the nodes adjusting the flows' paths based on real-time measurement of the candidate paths. The measurement is to reflect the congestion situation of each path, so that the nodes could decide which flows need to be switched from a path to another. This is something that current TE technologies can hardly achieve. In current TE, the paths are usually planned in a certralized controller, which is far from the data plane, thus neither be able to assess the real-time congestion situation of each path, nor able to assure the data plane always go as expected (especially in SRv6 scenarios). In a result, traditional TE is not able to adjust the flow paths in real-time to fit for the change of traffic instantly. iCAN can work with traditional TE perfectly: the controller plans multi-path transmission in relatively long period (e.g. minutes), and iCAN does the flow path optimization in a much shorter interval (e.g. milliseconds).


Joanna Dang
Bing Liu
Guangming Yang
Kyungtae Lee

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