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Platform-aware LArge-scale Time-Series prOcessiNg

Project description

Computing large data sets efficiently and effortlessly

Big data needs big solutions. Dealing with data sets that are too large to handle is a challenge for many scientific and industrial fields. To find a solution, the EU-funded PLATON project will bring together a highly experienced researcher in the field of the theory of concurrent and distributed computing with a hosting group having world-leading expertise on data series management, indexing, and analysis. The aim is to harness the difficulties of large-scale data series processing by realising the data series processing performance and scalability goals. PLATON will exploit, for the first time, the full computational capacity of modern heterogeneous computing platforms to enable highly scalable and fault-tolerant processing of huge collections of data.

Call for proposal

H2020-MSCA-IF-2020
See other projects for this call

Coordinator

UNIVERSITE DE PARIS
Address
85 Bd Saint Germain
75006 Paris
France
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 92 353,92