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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.

Objective

PLATON brings together a highly-experienced researcher in the field of the theory of concurrent and distributed computing with a hosting group which has world-leading expertise on data series management, indexing, and analysis to harness the difficulties of large-scale data series processing by realising the data series processing performance and scalability goals. Specifically, PLATON aspires to build the necessary methods, algorithms and tools for highly-scalable and fault-tolerant processing of huge collections of data series by exploiting, for the first time, the full computational capacity (multiple nodes, multiple cores, accelerators) of modern heterogeneous computing platforms. The proposed research project, named PLATON (Platform-aware LArge-scale Time-Series prOcessiNg), has the potential of great economic and social impact in Europe as multiple scientific and industrial fields are currently in need of the right tools, in order to handle their massive collections of data series.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2020

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Coordinator

UNIVERSITE PARIS CITE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 92 353,92
Address
85 BD SAINT GERMAIN
75006 PARIS
France

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Region
Ile-de-France Ile-de-France Paris
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 92 353,92
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