@techreport{tavernier-irtf-lccn-problem-statement-01,
	number =	{draft-tavernier-irtf-lccn-problem-statement-01},
	type =		{Internet-Draft},
	institution =	{Internet Engineering Task Force},
	publisher =	{Internet Engineering Task Force},
	note =		{Work in Progress},
	url =		{https://datatracker.ietf.org/doc/html/draft-tavernier-irtf-lccn-problem-statement-01},
        author =	{Wouter Tavernier and Papadimitriou Dimitri and Didier Colle},
	title =		{{Learning Capable Communication Network (LCCN) problem statement}},
	pagetotal =	16,
	year =		2011,
	month =		jan,
	day =		15,
	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).},
}