Open AccessData Intensive Scalable Computing (DISC)
Author(s) -
Mário A. R. Dantas
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/eradsp.2020.16873
Subject(s) - scalability , computer science , big data , data intensive computing , distributed computing , data science , database , data mining , grid computing , geometry , mathematics , grid
This work presents an introduction to the Data Intensive Scalable Computing (DISC) approach. This paradigm represents a valuable effort to tackle the large amount of data produced by several ordinary applications. Therefore, subjects such as characterization of big data and storage approaches, in addition to brief comparison between HPC and DISC are differentiated highlight.