Project description
A big boost for internet functionality
The amount of data flowing through the Internet is growing quickly and we urgently need new ways to manage, process and analyse it. Software Defined Networking (SDN) has emerged as an interesting approach to handle massive tons of data efficiently, offering programmability in network functionalities. Still, managing an SDN framework is challenging. Big Data analysis techniques can be useful in the identification and troubleshooting of SDN problems, and the optimisation of network performance. The EU-funded MAD-SDN project proposes an approach based on multivariate big data analysis (MBDA) for network monitoring, troubleshooting and traffic classification. The pioneering federated learning approach by Google will be used for distributed data analysis problems.
Fields of science
Programme(s)
Call for proposal
H2020-MSCA-IF-2019
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Funding Scheme
MSCA-IF-EF-ST - Standard EFCoordinator
18071 Granada
Spain