Cel 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. Dziedzina nauki natural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksdata networks Słowa kluczowe Resource allocation problems in networks convex optimisation optimal control scheduling generalised max-weight scheduling algorithms Program(-y) 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 Temat(-y) MSCA-IF-2017 - Individual Fellowships Zaproszenie do składania wniosków H2020-MSCA-IF-2017 Zobacz inne projekty w ramach tego zaproszenia System finansowania MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Koordynator THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN Wkład UE netto € 248 063,40 Adres COLLEGE GREEN TRINITY COLLEGE D02 CX56 DUBLIN 2 Irlandia Zobacz na mapie Region Ireland Eastern and Midland Dublin Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 248 063,40 Partnerzy (1) Sortuj alfabetycznie Sortuj według wkładu UE netto Rozwiń wszystko Zwiń wszystko Partner Organizacje partnerskie biorą udział w realizacji działania, jednak nie podpisują umowy o grant. YALE UNIVERSITY Stany Zjednoczone Wkład UE netto € 0,00 Adres WHITNEY AVENUE 155 ROOM 214 06520 8337 New Haven Zobacz na mapie Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 160 130,40
