The objective of OREOS project is to design and implement an end-to-end orchestration platform for provisioning and managing critical services (such as vehicle communications, electrical distribution networks or emergency communications from public or private entities) in the context of fifth generation (5G) mobile communications, in order to leverage and expand the portfolio of products and services that Altran offers in these domains. The project thus intends to address advanced technological challenges associated with the evolution of 5G networks, in particular the support of services based on ultra reliable and low latency communications (URLLC), which will be essential for the expected disruption in areas such as automotive or smart cities.

The critical services targeted by the OREOS project are characterized by low latency and high reliability requirements, which benefit from the optimized combination of different architectural models, such as Fog, Edge and Cloud computing. In this context, the OREOS project will introduce innovative aspects such as support for optimization as a service, service-oriented policy systems, and low-latency, intelligent monitoring systems. The OREOS project is also framed in the context of 5G communications, which will support various services and industries critical to society and the economy. To guarantee the performance levels necessary for its operation, services such as Tactile Internet or connected and cooperative vehicles depend on the effective incorporation of advances associated with the network's virtualization and its services and, in particular, on the dynamic and autonomous management of network resources - with sensitivity to different contexts. In terms of network management, the OREOS project will investigate and develop mechanisms capable of supporting the demands of applications with different priorities and with high dynamics - in the number of users and devices or simultaneous applications and in terms of the policies themselves, which will vary over time according to the Operator’s needs (e.g. performance vs energy cost). To meet these requirements, great coordination between the monitoring, orchestration and policy subsystems is required.