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Section: Partnerships and Cooperations
National Initiatives
CominLabs laboratory of excellence
PrivGen
Participants : Fatima-Zahra Boujdad, Mario Südholt [coordinator] .
PrivGen (“Privacy-preserving sharing and processing of genetic data”) is a three-year project that has been started in Oct. 2016 and is conducted by three partners: a team of computer scientists from the LATIM Inserm institute in Brest mainly working on data watermarking techniques, a team of geneticians from an Inserm institute in Rennes working on the gathering and interpretation of genetic data, and the STACK team. The project provides funding of 330 KEUR altogether with an STACK share of 120 KEUR.
The project considers challenges related to the outsourcing of genetic data that is in the Cloud by different stakeholders (researchers, organizations, providers, etc.). It tackles several limitations of current security solutions in the cloud, notably the lack of support for different security and privacy properties at once and computations executed at different sites that are executed on behalf of multiple stakeholders.
The partners are working on three main challenges:
The Ascola team is mainly involved in providing solutions for the second and third challenges.
SeDuCe++
Participants : Jonathan Pastor, Jean-Marc Menaud [coordinator] .
SeDuCe++ is an extended version of the SeDuCe project. Funded by the LS2N (CNRS), an allocated budget of 10KEuros for one year, it aims at studying the energy footprint of extreme edge infrastructure.
ANR
GRECO (ANR)
Participants : Adrien Lebre [Contact point] , Alexandre Van Kempen.
The GRECO project (Resource manager for cloud of Things) is an ANR project (ANR-16-CE25-0016) running for 42 months (starting in January 2017 with an allocated budget of 522KEuros, 90KEuro for ASCOLA).
The consortium is composed of 4 partners: Qarnot Computing (coordinator) and 3 academic research group (DATAMOVE and AMA from the LIG in Grenoble and ASCOLA from Inria Rennes Bretagne Atlantique).
The goal of the GRECO project (https://anr-greco.net) is to design a manager for cloud of things. The manager should act at the IaaS, PaaS and SaaS layer of the cloud. One of the principal challenges will consist in handling the execution context of the environment in which the cloud of things operates. Indeed, unlike classical resource managers, connected devices imply to consider new types of networks, execution supports, sensors and new constraints like human interactions. The great mobility and variability of these contexts complexify the modelling of the quality of service. To face this challenge, we intend to innovate in designing scheduling and data management systems that will use machine learning techniques to automatically adapt their behaviour to the execution context. Adaptation here requires a modelling of the recurrent cloud of things usages, the modelling of the dynamics of physical cloud architecture.
KerStream (ANR)
Participant : Shadi Ibrahim [Coordinator] .
The KerStream project (Big Data Processing: Beyond Hadoop!) is an ANR JCJC (Young Researcher) project (ANR-16-CE25-0014-1) running for 48 months (starting in January 2017 with an allocated budget of 238KEuros).
The goal of the KerStream project is to address the limitations of Hadoop when running Big Data stream applications on large-scale clouds and do a step beyond Hadoop by proposing a new approach, called KerStream, for scalable and resilient Big Data stream processing on clouds. The KerStream project can be seen as the first step towards developing the first French middleware that handles Stream Data processing at Scale.
FSN
Hydda (FSN)
Participants : Helene Coullon, Jean-Marc Menaud [coordinator] .
The HYDDA project aims to develop a software solution allowing the deployment of Big Data applications (with hybrid design (HPC/CLoud)) on heterogeneous platforms (cluster, Grid, private Cloud) and orchestrators (Task scheduler like Slurm, Virtual orchestrator (like Nova for OpenStack or Swarm for Docker). The main questions we are investigating are :
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How to propose an easy-to-use service to host (from deployment to elimination) application components that are both typed Cloud and HPC?
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How propose a service that unifies the HPCaaS (HPC as a service) and the Infrastructure as a Service (IaaS) in order to offer resources on demand and to take into account the specificities of scientific applications?
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How optimize resources usage of these platforms (CPU, RAM, Disk, Energy, etc.) in order to propose solutions at the least cost?
CPER
SeDuCe
Participants : Adrien Lebre, Jean-Marc Menaud [coordinator] , Jonathan Pastor.
The SeDuCe project (Sustainable Data Centers: Bring Sun, Wind and Cloud Back Together), aims to design an experimental infrastructure dedicated to the study of data centers with low energy footprint. This innovative data center will be the first experimental data center in the world for studying the energy impact of cloud computing and the contribution of renewable energy (solar panels, wind turbines) from the scientific, technological and economic viewpoints. This project is integrated in the national context of grid computing (Grid'5000), and the Constellation project, which will be an inter-node (Pays de la Loire, Brittany).
Inria Project Labs
DISCOVERY
Participants : Helene Coullon, Marie Delavergne, Shadi Ibrahim, Adrien Lebre [coordinator] , Dimitri Pertin [Until May 2018] , Ronan Alexandre Rcherreau, Matthieu Simonin, Alexandre Van Kempen.
To accommodate the ever-increasing demand for Utility Computing (UC) resources, while taking into account both energy and economical issues, the current trend consists in building larger and larger Data Centers in a few strategic locations. Although such an approach enables UC providers to cope with the actual demand while continuing to operate UC resources through centralized software system, it is far from delivering sustainable and efficient UC infrastructures for future needs.
The DISCOVERY initiative (http://beyondtheclouds.github.io) aims at exploring a new way of operating Utility Computing (UC) resources by leveraging any facilities available through the Internet in order to deliver widely distributed platforms that can better match the geographical dispersal of users as well as the ever increasing demand. Critical to the emergence of such locality-based UC (also referred as Fog/Edge Computing) platforms is the availability of appropriate operating mechanisms. The main objective of DISCOVERY is to design, implement, demonstrate and promote a new kind of Cloud Operting System (OS) that will enable the management of such a large-scale and widely distributed infrastructure in an unified and friendly manner.
The consortium is composed of experts in the following research areas: large-scale infrastructure management systems, networking and P2P algorithms. Moreover, two key network operators, namely Orange and RENATER, are involved in the project.
By deploying and using a Fog/Edge OS on backbones, our ultimate vision is to enable large parts of the Internet to be hosted and operated by its internal structure itself: a scalable set of resources delivered by any computing facilities forming the Internet, starting from the larger hubs operated by ISPs, governments and academic institutions, to any idle resources that may be provided by end users.
STACK leads the DISCOVERY IPL and contributes mainly around two axes: VM life cycle management and deployment/reconfiguration concerns.
InriaHub
MERCURY
Participants : Ronan-Alexandre Cherrueau, Adrien Lebre [coordinator] , Matthieu Simonin.
STACK, in particular within the framework of the DISCOVERY initiative has been working on the massively distributed use case since 2013. With the development of several proof-of-concepts around OpenStack, the team has had the opportunity to start an InriaHub action. Named MERCURY, the goal of this action is twofold: (i) support the research development made within the context of DISCOVERY and (ii) favor the transfer toward the OpenStack community.
Further information available at: http://beyondtheClouds.github.io.
APOLLO/SOYUZ
Participants : Ronan-Alexandre Cherrueau, Adrien Lebre [coordinator] , Matthieu Simonin.
The Apollo/Soyuz is the second InriaHub action attached the DISCOVERY IPL. While MERCURY aims mainly at supporting development efforts within the DISCOVERY IPL, the APOLLO/SOYUZ is focusing on the animation and the dissemination of the DISCOVERY activities within the different open-source ecosystem (i.e., OpenStack, OPNFV, etc.). One additional engineer will join the current team in January 2019.
Further information available at: http://beyondtheClouds.github.io.
Fond d'amorçage IMT Industrie du Futur 2017
aLIFE
Participants : Hélène Coullon [coordinator] , Jacques Noyé.
We have organized, in partnership with colleagues from IMT Atlantique, the aLIFE workshop between industry and academia, which took place in Nantes during two days on 30-31 January.
The objective was to share experience and success stories, as well as open challenges related to the contribution of software-related research to Factories of the Future, in French Apport de l’industrie du Logiciel à l’Industrie du Futur Européenne (aLIFE). 86 people registered to the workshop, organized around plenary sessions and discussion panels, with speakers from Airbus, Baldwin Partners, Comau (Italy), Dassault Systèmes, e.l.m. Leblanc, La Poste, Naval Group, Predict, Fraunhofer (Germany), KTH (Sweden), Polytechnique Montréal (Canada), and TUM (Germany).
Connect Talent
Apollo (Connect Talent)
Participant : Shadi Ibrahim [Coordinator] .
The Apollo project (Fast, efficient and privacy-aware Workflow executions in massively distributed Data-centers) is an individual research project “'Connect Talent” running for 36 months (starting in November 2017 with an allocated budget of 201KEuros).
The goal of the Apollo project is to investigate novel scheduling policies and mechanisms for fast, efficient and privacy-aware data-intensive workflow executions in massively distributed data-centers.
Etoiles Montantes
VeRDi
Participant : Hélène Coullon [Coordinator] .
VeRDi is an acronym for Verified Reconfiguration Driven by execution. The VeRDi project is funded by the French region Pays De La Loire where Nantes is located. The project starts in November 2018 and ends on December 2020 with an allocated budget of 172800€.
It aims at addressing distributed software reconfiguration in an efficient and verified way. The aim of the VeRDi project is to build an argued disruptive view of the problem. To do so we want to validate the work already performed on the deployment in the team and extend it to reconfiguration.