Objetivo 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. Ámbito científico natural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksdata networks Palabras clave Resource allocation problems in networks convex optimisation optimal control scheduling generalised max-weight scheduling algorithms Programa(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Tema(s) MSCA-IF-2017 - Individual Fellowships Convocatoria de propuestas H2020-MSCA-IF-2017 Consulte otros proyectos de esta convocatoria Régimen de financiación MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinador THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN Aportación neta de la UEn € 248 063,40 Dirección COLLEGE GREEN TRINITY COLLEGE D02 CX56 DUBLIN 2 Irlanda Ver en el mapa Región Ireland Eastern and Midland Dublin Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 248 063,40 Socios (1) Ordenar alfabéticamente Ordenar por aportación neta de la UE Ampliar todo Contraer todo Socio Las organizaciones asociadas contribuyen a la aplicación de la acción, pero no firman el acuerdo de subvención. YALE UNIVERSITY Estados Unidos Aportación neta de la UEn € 0,00 Dirección WHITNEY AVENUE 155 ROOM 214 06520 8337 New Haven Ver en el mapa Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 160 130,40