Scalable-DSP: a high scalable distributed storage and processing system for unstructured data in big data environments

Sun, Dawei and Gao, Shang 2017, Scalable-DSP: a high scalable distributed storage and processing system for unstructured data in big data environments, in Proceedings of the Australasian Computer Science Week Multiconference, ACM, New York, N.Y., pp. 1-5, doi: 10.1145/3014812.3014855.

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Title Scalable-DSP: a high scalable distributed storage and processing system for unstructured data in big data environments
Author(s) Sun, Dawei
Gao, ShangORCID iD for Gao, Shang orcid.org/0000-0002-2947-7780
Conference name Australasian Computer Science Week. Multiconference (2017 : Geelong, Vic.)
Conference location Geelong, Vic.
Conference dates 2017/01/31 - 2017/02/03
Title of proceedings Proceedings of the Australasian Computer Science Week Multiconference
Editor(s) [Unknown]
Publication date 2017
Series ACM International Conference Proceeding Series
Start page 1
End page 5
Total pages 5
Publisher ACM
Place of publication New York, N.Y.
Keyword(s) Big data
Data storage
Data processing
Unstructured data
Internet scale
Scalability
ISBN 9781450347686
Language eng
DOI 10.1145/3014812.3014855
Field of Research 080599 Distributed Computing not elsewhere classified
Socio Economic Objective 890399 Information Services not elsewhere classified
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30092400

Document type: Conference Paper
Collection: School of Information Technology
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