@techreport{liu-ican-01,
    number =    {draft-liu-ican-01},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-liu-ican/01/},
    author =    {Joanna Dang and Bing Liu and Guangming Yang and Kyungtae Lee},
    title =     {{Instant Congestion Assessment Network (iCAN) for Traffic Engineering}},
    pagetotal = 14,
    year =      2019,
    month =     nov,
    day =       4,
    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).},
}