Scientific project and objectives
This explosion in data volume is a key factor for the development of 5G technologies that should significantly improve the speed of data transmission as well as the reliability of connected objects. The 5G wireless networks introduce a new concept to support several isolated logical networks, called slices, over the same network infrastructure. Each 5G slice can be tailored to support specific service with its own requirements in terms of quality of service.
This 5G network with many and diverse services requires a tailor-made, on-demand and autonomous behavior orchestrating efficiently the slices and adjusting the network closer to the customer. This Zero touch orchestration paradigm raises new and important challenges in terms of infrastructure and resource management at the network-core level.
What will you do?
- Evaluate solutions for a full automatization of slices instantiation and modifications, as close as possible to the concept of self-organizing networks (SON, Self-Organizing Networks) and Zero Touch management.
- Propose a model for the deployment and orchestration of 5G slices in the cloud native core network.
- Evaluate the benefits and effectiveness of this slice deployment in theory and in practice through the realization of a proof of concept. One possible use case is a set of Network Functions implementing Cloud-Native probing system.
- Contribute to detail the possible slices and their realization over the physical infrastructure with QoS and isolation constraints.
- Enhance the orchestration framework with features of prediction of necessary resources for incoming slices and the ability of dynamically adjusting allocated resources. This includes solutions that can be applied when a slice has excessive use of resources. Machine learning methods can be very suitable for this dynamic and complex resource management and prediction.
More details: See EXFO