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.
Keywords
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
75006 Paris
France