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 Next-generation 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 driven by use cases designed to address major network management problems including Self-protection capabilities against distributed cyber-attacks, Self-healing capabilities against network failures, and Self-optimization to dynamically improve the performance of the network and the QoE of the users. 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.
SLICENET – End-to-End Cognitive Network Slicing and Slice Management Framework in Virtualised Multi-Domain, Multi-Tenant 5G Networks (RIA)
5G use cases are so diverse and challenging that the 5G networks must be customisable for the broad range of individual scenarios. 5G network providers are keen to offer “networks as a service” where logical network slices are created and allocated to use cases flexibly and efficiently in a multi-operator environment. SliceNet will create and demonstrate the tools and mechanisms to achieve this ambition. Specifically, SliceNet will design, prototype and demonstrate an innovative, verticals-oriented, QoE-driven 5G network slicing framework. It will use cognitive network management, control and orchestration techniques for the provision and operation of end-to-end slicing across multi-operator domains in 5G networks. SliceNet will systematically tackle a range of the involved outstanding issues and thus directly addresses the key challenges in Strand 3 “Software Network” in this call ICT-07-2017. The integrated SliceNet framework will be demonstrated in three representative vertical use cases: Smart Grid, eHealth and Smart City, to highlight the achievements, innovations, and impacts. SliceNet support the unique perspectives and requirements on 5G networks of different players: For 5G verticals businesses, SliceNet offers an innovative one-stop shop solution to meet diverging and demanding service requirements. SliceNet enables the verticals to plug and play their use cases with bespoke control to employ 5G slices in a scalable, cost-efficient way via novel mySlice and Scalable Slicing as a Service functions and a one-stop API. For 5G service providers and users, SliceNet provides unprecedented guaranteed service quality by agile cognitive QoE-optimisation of service creation and delivery. For 5G network operators, SliceNet presents an integrated FCAPS (Fault, Configuration, Accounting, Performance, Security) framework for truly end-to-end management, control and orchestration of slices by secured, interoperable, and reliable operations across multi-operator domains.