Project description
New Paradigms and Experimental Facilities
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 a) the Internet manageability and security, b) the availability of Internet paths, and c) 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 1) to adaptively sample traffic on core links, 2) to efficiently monitor the path performance by combining passive and active measurements, and 3) 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 1) efficient path ranking based on QoS and availability metrics, 2) routers to efficiently reroute paths to other links in case of failure, and 3) 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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2007-2
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
2018 Antwerpen
Belgium
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.