FANC | A Faster Approach to Network Control

Summary
This project is about network control (NC) algorithms, a subclass of control algorithms that are used in scheduling, congestion control, or more generally, in resource allocation problems in networks. In the last years, NC algorithms have been designed at the same pace as new services were available (e.g. video streaming, VoIP). However, this is becoming increasingly difficult. The increasing complexity of data networks and the diversity of services offered are making NC algorithms slow and complicated to design, and as a result, less effective in practice. For instance, it can take months to develop a new NC algorithm. In this project, we aim to change the paradigm in which NC algorithms are designed. We want to move away from the current 'paper and pencil' approach and go towards a much faster method using software. In particular, we want to use recent breakthroughs in the areas of optimisation and networking to: (i) develop a new mathematical framework that abstracts previous solutions, and (ii) create a software package that allows us to use the framework in a simple and fast way (i.e. model NC problems and generate algorithms). That is, the software package will make possible to use the framework in a simple language, which will speed up the modelling of NC problems. This project is important because it will make possible to deliver future services on time while using network resources efficiently, but also because it connects solid theory developed in academia with real problems addressed by industry. During the last phase of the project, we will collaborate with an industry research lab (NEC) to exploit the project results.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/795244
Start date: 01-01-2019
End date: 02-06-2022
Total budget - Public funding: 248 063,40 Euro - 248 063,00 Euro
Cordis data

Original description

This project is about network control (NC) algorithms, a subclass of control algorithms that are used in scheduling, congestion control, or more generally, in resource allocation problems in networks. In the last years, NC algorithms have been designed at the same pace as new services were available (e.g. video streaming, VoIP). However, this is becoming increasingly difficult. The increasing complexity of data networks and the diversity of services offered are making NC algorithms slow and complicated to design, and as a result, less effective in practice. For instance, it can take months to develop a new NC algorithm. In this project, we aim to change the paradigm in which NC algorithms are designed. We want to move away from the current 'paper and pencil' approach and go towards a much faster method using software. In particular, we want to use recent breakthroughs in the areas of optimisation and networking to: (i) develop a new mathematical framework that abstracts previous solutions, and (ii) create a software package that allows us to use the framework in a simple and fast way (i.e. model NC problems and generate algorithms). That is, the software package will make possible to use the framework in a simple language, which will speed up the modelling of NC problems. This project is important because it will make possible to deliver future services on time while using network resources efficiently, but also because it connects solid theory developed in academia with real problems addressed by industry. During the last phase of the project, we will collaborate with an industry research lab (NEC) to exploit the project results.

Status

CLOSED

Call topic

MSCA-IF-2017

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2017
MSCA-IF-2017