Work

The Sigma Data Processing Architecture: Leveraging Future Data for Extreme-Scale Data Analytics to Enable High-Precision Decisions

Year: 2018

Type: conference-paper

Abstract: This white paper introduces several key principles based on which HPC-Big Data convergence can be achieved: 1) use future (simulated) data to substantially enrich knowledge obtained based on historical (past) data; 2) enable high-precision analytics thanks to hybrid modeling combining simulation and data-driven models; 3) enable unified data processing thanks to a data processing framework able to relevantly leverage and combine stream processing and batch processing in situ and in transit.

Source: HAL

Authors: Antoniu, Gabriel, Costan, Alexandru, Pérez, Maria, S, Stojanovic, Nenad

Institutions: Universidad Politécnica de Madrid, Nissatech Innovation Centre (Serbia)

Language: English

Topic: Big Data Technologies and Applications

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4289241446

FWCI: 0.37

Cites:

Cited by: 1

Related to: 10