publication . Other literature type . Report . 2020

D5.1 Operator Cost Estimation and Workflow Optimisation Technology V1

Project Consortium Members;
Open Access
  • Published: 30 Apr 2020
  • Publisher: Zenodo
Abstract
Big Data processing workflows typically span a multitude of execution and storage platforms. Parts of the processing could be pushed to the input sensor level, as in the case of the wavegliders in the Maritime use case, while other more computationally intensive parts/operators (such as stock correlation functions in the Financial use case, or gene simulations in Life Sciences use case) could be executed either within one or more (potentially distributed) Big Data platforms or within other clusters (i.e., GPUs) of a supercomputer. Even within a single (i.e., BSC’s MareNostrum 4) supercomputer one often finds different available clusters, with different hardware ...
Funded by
EC| INFORE
Project
INFORE
Interactive Extreme-Scale Analytics and Forecasting
  • Funder: European Commission (EC)
  • Project Code: 825070
  • Funding stream: H2020 | RIA
Download fromView all 3 versions
Zenodo
Other literature type . 2020
Provider: Datacite
ZENODO
Report . 2020
Provider: ZENODO
Zenodo
Other literature type . 2020
Provider: Datacite
Any information missing or wrong?Report an Issue