ECODE

Experimental cognitive distributed engine

Coordinatore	ALCATEL-LUCENT BELL NV    more  Organization address address: COPERNICUSLAAN 50 city: ANTWERPEN postcode: 2018 contact info Cognome: PAPADIMITRIOU, DIMITRI Email: send email Telefono: -2408462 Fax: -2404857
Nazionalità Coordinatore	Belgium [BE]
Totale costo	4˙636˙992 €
EC contributo	3˙070˙000 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Funding Scheme	CP
Anno di inizio	2008
Periodo (anno-mese-giorno)	2008-09-01   -   2011-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	ALCATEL-LUCENT BELL NV  Organization address address: COPERNICUSLAAN 50 city: ANTWERPEN postcode: 2018 contact info Cognome: PAPADIMITRIOU, DIMITRI Email: send email Telefono: -2408462 Fax: -2404857	BE (ANTWERPEN)	coordinator	0.00
2	CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE  Organization address address: 3, RUE MICHEL-ANGE city: PARIS CEDEX 16 contact info	FR (PARIS CEDEX 16)	participant	0.00
3	INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE  Organization address address: DOMAINE DE VOLUCEAU city: LE CHESNAY CEDEX postcode: 78153 contact info	FR (LE CHESNAY CEDEX)	participant	0.00
4	INTERDISCIPLINAIR INSTITUUT VOOR BREEDBANDTECHNOLOGIE VZW  Organization address address: GASTON CROMMENLAAN 8 BUS 102 city: GENT postcode: 9050 contact info	BE (GENT)	participant	0.00
5	LANCASTER UNIVERSITY  Organization address address: BAILRIGG city: LANCASTER postcode: LA1 4YW contact info	UK (LANCASTER)	participant	0.00
6	UNIVERSITE CATHOLIQUE DE LOUVAIN  Organization address address: 1 PLACE DE L'UNIVERSITE city: LOUVAIN-LA-NEUVE postcode: 1348 contact info	BE (LOUVAIN-LA-NEUVE)	participant	0.00
7	UNIVERSITE DE LIEGE  Organization address address: PLACE DU 20 AOuT 7 city: LIEGE postcode: 4000 contact info	BE (LIEGE)	participant	0.00

Mappa

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 Obiettivo del progetto (Objective)

The aim of the ECODE proposal is to develop, implement and validate experimentally a cognitive routing system. This system will use cognitive techniques to provide a routing system able to meet the future Internet challenges. The project gathers networking and machine learning experts to address these challenges efficiently. In architectural phase one, the cognitive routing system is designed and prototyped.

In phase two, we consider three representative sets of use cases to evaluate the benefits of machine learning techniques to improve - the Internet manageability and security, - the availability of Internet paths, and - the scalability and quality of the Internet routing system.

Concerning the manageability and security use case, the project will develop, implement and experiment new techniques that allow - to adaptively sample traffic on core links, - to efficiently monitor the path performance by combining passive and active measurements, and - to cooperatively detect traffic anomalies leading to performance or QoS decrease, and cooperatively detect intrusions and attacks.

Concerning the availability use case, the project will develop, implement and experiment new techniques to allow - efficient path ranking based on QoS and availability metrics, - routers to efficiently reroute paths to other links in case of failure, and - routers to correlate traffic flows to diagnose and predict deviation over time.

Concerning the routing scalability and quality use case, the project will develop, implement and experiment new techniques to detect events that are detrimental to the routing system dynamics and to efficiently react to such events. In phase three, we implement and experiment novel semi-supervised, on-line, and distributed machine learning techniques within the cognitive routing system. The experimentation and the validation of the techniques developed in the project will be carried on physical (iLAB) and virtual (e.g., OneLab) experimental facilities.