Cloud-based big data framework towards strengthening disaster risk reduction: systematic mapping
Journal of Science and Technology Policy Management
ISSN: 2053-4620
Article publication date: 23 March 2023
Issue publication date: 21 November 2023
Abstract
Purpose
Cloud computing promises dependable services offered through next-generation data centres based on virtualization technologies for computation, network and storage. Big Data Applications have been made viable by cloud computing technologies due to the tremendous expansion of data. Disaster management is one of the areas where big data applications are rapidly being deployed. This study looks at how big data is being used in conjunction with cloud computing to increase disaster risk reduction (DRR). This paper aims to explore and review the existing framework for big data used in disaster management and to provide an insightful view of how cloud-based big data platform toward DRR is applied.
Design/methodology/approach
A systematic mapping study is conducted to answer four research questions with papers related to Big Data Analytics, cloud computing and disaster management ranging from the year 2013 to 2019. A total of 26 papers were finalised after going through five steps of systematic mapping.
Findings
Findings are based on each research question.
Research limitations/implications
A specific study on big data platforms on the application of disaster management, in general is still limited. The lack of study in this field is opened for further research sources.
Practical implications
In terms of technology, research in DRR leverage on existing big data platform is still lacking. In terms of data, many disaster data are available, but scientists still struggle to learn and listen to the data and take more proactive disaster preparedness.
Originality/value
This study shows that a very famous platform selected by researchers is central processing unit based processing, namely, Apache Hadoop. Apache Spark which uses memory processing requires a big capacity of memory, therefore this is less preferred in the world of research.
Keywords
Acknowledgements
The research is financially supported by Universiti Teknologi Malaysia (UTM) Transdisciplinary Research (TDR) Grant Q. K130000.3556.06G28.
Citation
Mahrin, M.N., Subbarao, A., Chuprat, S. and Abu Bakar, N.A. (2023), "Cloud-based big data framework towards strengthening disaster risk reduction: systematic mapping", Journal of Science and Technology Policy Management, Vol. 14 No. 6, pp. 1-21. https://doi.org/10.1108/JSTPM-03-2022-0049
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited