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Section: Partnerships and Cooperations
International Initiatives
Inria International Labs
Inria@SiliconValley
Associate Team involved in the International Lab:
DALHIS
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Title: Data Analysis on Large Heterogeneous Infrastructures for Science
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International Partner (Institution - Laboratory - Researcher):
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See also: https://project.inria.fr/dalhis/
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Data produced by scientific instruments (large facilities like telescopes or field data), large-scale experiments, and high-fidelity simulations are increasing in magnitude and complexity. Existing data analysis methods, tools and infrastructure are often difficult to use and unable to provide the complete data management, collaboration, and curation environment needed to manage these complex, dynamic, and large-scale data analysis environments. The goal of the Inria-LBL DALHIS associate team involving the Myriads (PI) and Avalon Inria project-teams and the Data Science and Technology (DST) department at Lawrence Berkeley National Laboratory (LBL) is to create a collaborative distributed software ecosystem to manage data lifecycle and enable data analytics on distributed data sets and resources. Specifically, our goal is to build a dynamic software stack that is user-friendly, scalable, energy-efficient and fault tolerant. Our research determines appropriate execution environments that allow users to seamlessly execute their end-to-end dynamic data analysis workflows in various resource environments and scales while meeting energy-efficiency, performance and fault tolerance goals. We engage in deep partnerships with scientific teams (Fluxnet in environmental science and SNFactory and LSST experiences in cosmology) and use a mix of user research with system software R&D to address specific challenges that these communities face. This associate team ended in 2018.
Inria Associate Teams Not Involved in an Inria International Labs
FogCity
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International Partner (Institution - Laboratory - Researcher):
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The FogCity associate team proposal concerns a collaboration between the Myriads project-team and a research team at Indian Institute of Technology Kharagpur led by Dr. Sudip Misra. The proposal focuses on a smart city scenario in which data from static and mobile sensors is routed to appropriate fog data centres based on application QoS requirements. The main goal of the research is to select suitable nodes within the fog data centers to optimize the QoS of the applications in terms of latency. The two teams have complementary expertise in theoretical research (Indian partner) and system research (Inria Myriads project-team) and share a strong research interest in IoT and Fog Computing.
Inria International Partners
Informal International Partners
We collaborate with Prof. Etienne Riviere from UC Louvain on legacy application edgification. Genc Tato spent six month at UCL.
We collaborate extensively with Prof. Gene Cooperman from Northeastern University, USA. One of his students, Onesphore Ndayishimiye, visited us for a three-month visit. Conversely, Arif Ahmed visited Northeastern University for three months as well. These informal collaborations are the basis of a proposal for a joint Inria team.
We collaborate with Dr. Djawida Dib (Tlemcen University, Algeria) on energy-efficient and fault-tolerant resource management in containerized clouds. Christine Morin and Nikos Parlavantzas are co-advising Yasmina Bouizem, who is enrolled in both Tlemcen University and University of Rennes 1.
We collaborate with Prof. Hector Duran-Limon (University of Guadalajara, Mexico) on cloud resource management. Nikos Parlavantzas co-advised Carlos Ruiz Diaz, a PhD student enrolled in the University of Guadalajara, who defended his thesis in January 2018.