In a nutshell
Qarnot computing is a young company incorporated in 2010 in Paris, France. Qarnot designed and operates the Q.rad, the first computing heater using embedded computers as a heat source. Totally silent, connected to the Internet, it performs remotely complex operations for computing companies and institutions. The heat produced by workload processing provides free and efficient heating for homes, public buildings and offices. Qarnot drastically reduces cloud High-performance computing (HPC) environmental footprint in an economically efficient manner.
Qarnot recently unveiled a new version of the Q.rad during CES ’17 in Las Vegas, fully equipped with sensors (presence, sound, air quality…) to propose ambient intelligence integrated within the building.
In GRECO project, Qarnot is providing its distributed computing for experimentation and actual smart building use cases and cloud of things. Qarnot will also contribute to scheduling activities.
Yanik NGOKO, PhD Research Engineer
In a nutshell
Grenoble Informatics Laboratory (LIG) is one of the largest laboratories in Computer Science in France. It is structured as a Joint Research Center (French Unité Mixte de Recherche – UMR).
500 members of LIG (faculty, full-time researchers, PhD students, administrative and technical staff) are distributed over three sites in Grenoble and its suburbs: the Saint Martin d’Hères Campus, Minatec, and the Montbonnot Campus.
The mission of LIG is to contribute to the development of fundamental aspects of Computer Science (models, languages, methodologies, algorithms) and address conceptual, technological, and societal challenges. Increasing diversity and dynamism of data, services, interaction devices, and use cases influence the evolution of software and systems so they need to guarantee the essential properties such as reliability, performance, autonomy, and adaptability.
LIG’s scientific role in the GRECO project will focus on ambient and pervasive IT, combining sustainable objectives.
Two LIG’s teams will be involved in the GRECO project, DATAMOVE dedicated to efficient scheduling in large computing infrastructure, AMA (dAta analysis, Modeling and mAchine learning) dedicated to machine learning and information modeling for complex data.
Denis TRYSTRAM, Professor
In a nutshell
ASCOLA addresses the general problem of structuring and evolving software by developing concepts, languages, implementations and tools for building software architectures based on components and aspects. Its long term goal is the development of new abstractions for the programming of software architectures, their representation in terms of expressive programming languages and their correct and efficient implementation.
Research and implementation are strongly linked to validate our results in the context of significant applications in the domains of enterprise information systems, service-oriented architectures (middleware, business components), cluster and grid programming, as well as pervasive systems.
ASCOLA’s role in the project is targeting the implementation and the use of a new paradigm for large scale infrastructure management, especially regarding data storage.
Adrien LEBRE, researcher
Beyond the Clouds – Revise OpenStack to satisfy Fog/Edge computing requirements, IPL Discovery (http://beyondtheclouds.github.io)