A reference architecture for big data systems.

Sang, G.M., Xu, L. and de Vrieze, P. T., 2017. A reference architecture for big data systems. In: SKIMA 2016: 10th International Conference on Software, Knowledge, Information Management and Applications, 15-17 December 2016, Chengdu, China, 370 - 375.

Full text available as:

[img]
Preview
PDF
SKIMA2016_paper_76.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

175kB

DOI: 10.1109/SKIMA.2016.7916249

Abstract

Over dozens of years, applying new IT technologies into organizations has always been a big concern for business. Big data certainly is a new concept exciting business. To be able to access more data and empower to analysis big data requires new big data platforms. However, there still remains limited reference architecture for big data systems. In this paper, based on existing reference architecture of big data systems, we propose new high level abstract reference architecture and related reference architecture notations, that better express the overall architecture. The new reference architecture is verified using one existing case and an additional new use case.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Big Data ; Data Analytics ; Reference Architecture
Group:Faculty of Science & Technology
ID Code:30020
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:27 Nov 2017 11:28
Last Modified:27 Nov 2017 11:28

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -