OREOS
Orchestration and Resource optimization for rEliable and lOw-latency Services

Challenge

In the current virtualized environments (NFV), the allocation of the necessary resources to support some Management and Orchestration services, raises new problems such as:

i) what functions it should perform to support the service;

ii) where to perform each of these functions taking into account the distribution of resources (e.g., on the device itself, in the Cloud, or on the Edge);

iii) when to migrate each of the functions or;

iv) when to change the optimization models taking into account the current policies.

These issues are particularly difficult to address in support of critical communication services, which combine very low latency and high reliability requirements.

Solution

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. 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.

Objectives, Activities and Results expected / achieved

Expected Results:
1. Enable a new generation of services and use cases supported by highly reliable and low latency connectivity, combining recent advances in 5G technologies, IoT and architectural models that exploit the high distribution of resources (e.g., Cloud, Fog, and Edge computing);

2. Develop and integrate multi-domain and context-sensitive algorithms that aim at the optimal allocation of computational and network resources taking into consideration the requirements of different components or stakeholders (e.g., network, virtualized resources, users) during the service lifecycle;

3. Design, implement and validate an intelligent platform capable of understanding and integrating different requirements in order to produce recommendations regarding resource allocation procedures;

4. Achieve greater efficiency in environments with high variability of orders and limited resources, through the adaptation of existing end-to-end Orchestration solutions and oriented to production environments to support the “IoT-Edge-Fog-Cloud” continuum concept in future 5G networks;

5. Integrate intelligent mechanisms and processes into service lifecycle management operations at the service infrastructure level (e.g.; instantiation, migration, repair, optimization);

6. Configure and integrate monitoring and data analysis systems oriented to production environments that allow the access of intelligent algorithms and mechanisms to contextual information from multiple domains ensuring administrative independence.

Project Reference

POCI-01-0247-FEDER-049029

Funding

Intervention Region

North (54,27%) and Center (45,73%) of Portugal

Total Investment

967.475,03

IPN Investment

187.014,63

Total Eligible

925.386,16

IPN Eligible

186.347,63

EC Funding – Total

566.112,23

EC Funding – IPN

139.760,72

Duration

30 Months

Start Date

2021-01-02

End Date

2023-06-30

Approval Date

2020-03-25

Consortium

AltranPortugal, S.A
Instituto Pedro Nunes
Universidade de Coimbra

Website

https://oreos.pt/

Keywords

Network orchestration;
Network monitoring;
Optimization as a service;
Critical communications;
Low latency.

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IPN - Instituto Pedro Nunes

OREOS Orchestration and Resource optimization for rEliable and lOw-latency Services