The SELFNET project will design and implement an autonomic network management framework to achieve self-organizing capabilities in managing network infrastructures by automatically detecting and mitigating a range of common network problems that are currently still being manually addressed by network operators, thereby significantly reducing operational costs and improving user experience.
SELFNET explores a smart integration of state-of-the-art technologies in Software-Defined Networks (SDN), Network Function Virtualization (NFV), Self-Organizing Networks (SON), Cloud computing, Artificial intelligence, Quality of Experience (QoE) and Nextgeneration networking to provide a novel intelligent network management framework that is capable of assisting network operators in key management tasks: automated network monitoring by the automatic deployment of NFV applications to facilitate system-wide awareness of Health of Network metrics to have more direct and precise knowledge about the real status of the network; autonomic network maintenance by defining high-level tactical measures and enabling autonomic corrective and preventive actions against existing or potential network problems.
SELFNET is designed within this economic and business context to substantially reduce operational costs of network operators by automating a significant number of current labour-intensive network management tasks. Therefore, SELFNET directly addresses the Strand Network Management challenge highlighted by the EC.
- Eurescom Gmbh (Germany)
- Universidad de Murcia (Spain)
- PT Inovaçao e Sistemas SA (Portugal)
- Deutsches Forschungszentrum fuer Kuenstliche Intelligenz Gmbh (Germany)
- University of West of Scotland (United Kingdom)
- Universidad Complutense de Madrid (Spain)
- Nextworks (Italy)
- Innoroute Gmbh (Germany)
- Alvarion Technologies Ltd (Israel)
- Ubiwhere LDA (Portugal)
- PROEF, SGPS SA (Portugal)
- Creative Systems Engineering (Greece)