Learning Capable Communication Network (LCCN) problem statement
draft-tavernier-irtf-lccn-problem-statement-01
| Document | Type | Expired Internet-Draft (individual) | |
|---|---|---|---|
| Authors | Wouter Tavernier , Papadimitriou Dimitri , Didier Colle | ||
| Last updated | 2011-01-15 (Latest revision 2010-10-18) | ||
| Stream | (None) | ||
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| 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) |
https://www.ietf.org/archive/id/draft-tavernier-irtf-lccn-problem-statement-01.txt
Abstract
Operational procedures and protocols of today's communication networks typically use explicitly defined mechanisms and representations to reach the goals associated to their design. This practice results into numerous protocols having a restricted space for (self-)adaptability, flexibility, and sensitivity respective to their network context (e.g. network traffic conditions, failure conditions, etc). On the other hand, a wide spectrum of learning and optimization techniques is available such that networks could learn and optimize their behavior in the running context. This document describes the opportunities and challenges for a Learning Capable Communication Network (LCCN).
Authors
Wouter Tavernier
Papadimitriou Dimitri
Didier Colle
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)