[Nfd-dev] Host configuration / CCR paper

[Burke, Jeff]

I dont believe Haitao sent a notice to NDN list, but sort of recall the paper has been mentioned multiple times, e.g. listed in the ICE-AR publications and exchanges with Intel.


I looked – it is listed in the ICE-AR annual report and slides, but with no information. (I don’t think it’s actually cited, just noted as an output).

I would  urge authors of papers intended to inform / organize the design of the NDN platform to send notifications with abstracts and full-text links to this list…

Thanks,
Jeff


From: Lixia Zhang <lixia at cs.ucla.edu>
Date: Wednesday, September 5, 2018 at 12:29 PM
To: Jeff Burke <jburke at remap.ucla.edu>
Cc: "nfd-dev at lists.cs.ucla.edu" <nfd-dev at lists.cs.ucla.edu>
Subject: Re: [Nfd-dev] Host configuration / CCR paper




On Aug 28, 2018, at 2:19 PM, Burke, Jeff <jburke at remap.ucla.edu<mailto:jburke at remap.ucla.edu>> wrote:

Hi,

In the recent tech seminar, Lixia referred us* to Haitao’s host model paper, which I assume was this one, to understand what faces might be created by default on an NDN node:
https://named-data.net/wp-content/uploads/2017/04/sigcomm-ccr-final221.pdf

Jeff,

I referred to this during the call last week only trying to clarify what parameters are done at config time (e.g. faces), and what need to be learned in run time (e.g. FIB entries, that can be added as a result of self-learning)

this paper is just a plain description of some basic concepts of an NDN node; it does not drive any specific implementation.


Can someone please explain which sections in the paper are driving any new implementation in NFD, where to find some info on  the design of that implementation, and how we can track progress?  Is there a redmine issue?  This seems to block the practical use of self-learning in real apps.

Thanks,
Jeff

*- Lixia, you implied that we should have known about this paper, but I can’t find a notification for the paper on any lists… how would we know it exists?

I dont believe Haitao sent a notice to NDN list, but sort of recall the paper has been mentioned multiple times, e.g. listed in the ICE-AR publications and exchanges with Intel.

Lixia
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