Section: Partnerships and Cooperations

Regional Initiatives

Région Nord-Pas De Calais

Citizen Awareness and Contribution to Air Quality Monitoring

Participants : Daniel Romero Acero, Romain Rouvoy [correspondant] , Lionel Seinturier.

This is a 3-year granted in the context of the so-called "Chercheur citoyen" program that started in 2015. The partners are LISIC/Université Côte d'Opale (leader), ATMO Nord-Pas De Calais, Association Bâtisseurs d'Economie Solidaire. This project targets the distributed monitoring of air quality with crowd-sensing solutions obtained via sensors connected to smart devices. We aim at inciting citizens to perform their own measures, and to obtain thanks to GPS geo-localisation a large-scale database and a dynamic fine-grained cartography of air quality. This project takes advantage of the APISENSE ^® crowdsensing platform (see Section  6.1 ).

Inria Lille - Nord Europe

ADT eSurgeon

Participants : Maxime Colmant, Loïc Huertas, Romain Rouvoy [correspondant] .

ADT eSurgeon (2013–15) is a technology development initiative supported by the Inria Lille - Nord Europe Center that aims at supporting the development of the PowerAPI software library (see Section  6.2 ) for measuring and monitoring the energy consumption of middleware and software systems.

ADT Spoon3R

Participants : Gérard Paligot, Martin Monperrus [correspondant] .

ADT Spoon3R (2014–16) is a technology development initiative supported by the Inria Lille - Nord Europe Center that aims at supporting the development of the Spoon software library. (see Section  6.4 ) Spoon3R aims at extending Spoon with the features defined in the context of our research activities on automated software repair.

North European Lab LLEX

Participants : Benoit Cornu, Martin Monperrus [correspondant] , Lionel Seinturier.

North European Lab LLEX (2015–17) is an international initiative supported by the Inria Lille - Nord Europe Center that takes place in the context of a collaboration between Inria and University College London. LLEX deals with research on automatic diagnosis and repair of software bugs. Automatic software repair is the process of fixing software bugs automatically An automatic software repair system fixes software bugs with no human intervention. The goal of automatic software repair is to save maintenance costs and to enable systems to be more resilient to bugs and unexpected situations. This research may dramatically improve the quality of software systems. The objective of the partnership is to work on the automated diagnosis of exceptions with a focus on null pointer exceptions.

North European Lab SOCS

Participants : Maria Gomez Lacruz, Christophe Ribeiro, Romain Rouvoy [correspondant] , Lionel Seinturier.

North European Lab SOCS (2013–15) is an international initiative supported by the Inria Lille - Nord Europe Center that takes place in the context of a well-established collaboration between Inria and Universitetet i Oslo (UiO) initiated in 2008. SOCS (Self-Optimization of Cyber-physical Systems) focuses on the self-optimization issues in cyber-physical systems. Cyber-Physical Systems (CPS) are complex systems-of-systems that blend hardware and software to fulfill specific missions. However, traditional CPS are statically configured to achieve predefined goals, which not only limit their sharing and their reuse, but also hinder their sustainability. We believe that this waste of resources stems from the lack of agility of CPS to adapt to change in their environment or objectives. The SOCS Inria Lab takes advantage of the technologies developed as part of the APISENSE ^® crowd-sensing platform (see Section  6.1 ) to leverage the development of agile CPS.

LEDA

Participant : Philippe Merle [correspondant] .

LEDA (2013–16) Laboratoire d'Expérimentation et de Démonstrations Ambiantes is a demonstration space allocated by the Inria Lille - Nord Europe Center whose goal is to show the scientific results of the Spirals team in the domains of distributed systems, adaptable middleware, software product lines, green computing, and ambiant computing. These results are illustrated around the scenario of a mock digital home.