ECODE

Experimental cognitive distributed engine

 Coordinatore 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

 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


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

allow    routers    internet    experiment    learning    paths    concerning    links    techniques    qos    cognitive    quality    routing    performance    efficiently    path    machine    traffic    security    cooperatively    detect    scalability    manageability    events   

 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.

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