Platform-aware LArge-scale Time-Series prOcessiNg

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.