QDaS: Quality driven data summarisation for effective storage management in Internet of Things

Liono, J, Jayaraman, P, Qin, A, Nguyen, T and Salim, F 2019, 'QDaS: Quality driven data summarisation for effective storage management in Internet of Things', Journal of Parallel and Distributed Computing, vol. 127, pp. 196-208.


Document type: Journal Article
Collection: Journal Articles

Title QDaS: Quality driven data summarisation for effective storage management in Internet of Things
Author(s) Liono, J
Jayaraman, P
Qin, A
Nguyen, T
Salim, F
Year 2019
Journal name Journal of Parallel and Distributed Computing
Volume number 127
Start page 196
End page 208
Total pages 13
Publisher Academic Press
Abstract The proliferation of Internet of Things (IoT) has led to the emergence of enabling many interesting applications within the realm of several domains including smart cities. However, the accumulation of data from smart IoT devices poses significant challenges for data storage while there are needs to deliver relevant and high quality services to consumers. In this paper, we propose QDaS, a novel domain agnostic framework as a solution for effective data storage and management of IoT applications. The framework incorporates a novel data summarisation mechanism that uses an innovative data quality estimation technique. This proposed data quality estimation technique computes the quality of data (based on their utility) without requiring any feedback from users of this IoT data or domain awareness of the data. We evaluate the effectiveness of the proposed QDaS framework using real world datasets.
Subject Ubiquitous Computing
Keyword(s) Cloud computing
Data summarisation
Internet of Things (IoT)
Quality of data
Quality of service
Storage management
DOI - identifier 10.1016/j.jpdc.2018.03.013
Copyright notice © 2018 Elsevier
ISSN 0743-7315
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