A reference architecture for big data systems
Authors: Sang, G.M., Xu, L. and De Vrieze, P.
Journal: SKIMA 2016 - 2016 10th International Conference on Software, Knowledge, Information Management and Applications
Pages: 370-375
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.
https://eprints.bournemouth.ac.uk/30020/
Source: Scopus
A Reference Architecture for Big Data Systems
Authors: Sang, G.M., Xu, L. and de Vrieze, P.
Journal: PROCEEDINGS OF 2016 10TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT & APPLICATIONS (SKIMA)
Pages: 370-375
ISSN: 2373-082X
https://eprints.bournemouth.ac.uk/30020/
Source: Web of Science (Lite)
A reference architecture for big data systems
Authors: Sang, G.M., Xu, L. and De Vrieze, P.
Conference: SKIMA 2016: 10th International Conference on Software, Knowledge, Information Management and Applications
Dates: 15-17 December 2016
Pages: 370-375
https://eprints.bournemouth.ac.uk/30020/
Source: Manual
A reference architecture for big data systems
Authors: Sang, G.M., Xu, L. and de Vrieze, P.T.
Conference: SKIMA 2016: 10th International Conference on Software, Knowledge, Information Management and Applications
Pages: 370-375
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.
https://eprints.bournemouth.ac.uk/30020/
Source: BURO EPrints