Instant Congestion Assessment Network (iCAN) for Traffic Engineering
draft-liu-ican-01

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Last updated 2020-05-07 (latest revision 2019-11-04)
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This Internet-Draft is no longer active. A copy of the expired Internet-Draft can be found at
https://www.ietf.org/archive/id/draft-liu-ican-01.txt

Abstract

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).

Authors

Joanna Dang (dangjuanna@huawei.com)
Bing Liu (leo.liubing@huawei.com)
Guangming Yang (yangguangm@chinatelecom.cn)
Kyungtae Lee (coolee@lguplus.co.kr)

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