Managing Human Induced Crisis with Big Data Infrastructure
No Thumbnail Available
Date
2018-12
Authors
Ojerinde, A
Adewole, P.
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Research and Review in Science
Abstract
Introduction: This paper presents human induced crisis management system using big data infrastructure. This approach was motivated by the already established fact that human induced crisis are characterized by velocity, variety and volume.
Materials and Methods: This paper therefore employed Hadoop big data stack, web technology to design and implement a crisis management model.
Results: The resulting system comprises analytical engine, custom website and a desktop application called “Channel”. The Hadoop distributed file system was used for data storage in the analytical engine, crisis data were collected via Twitter API and web service generated by the project website using Apache Flume and Channel respectively. Apache Hive was used to analyse the collected data and the analysed result were posted back to custom website using Channel. The system was evaluated using Mean Opinion Score (MOS) to test for its applicability, usability and reliability.
Conclusion: The perceived applicability rating of 74%, usability rating of 73% and reliability rating of 57% were obtained. The resulting system provides insight into crisis; promote rapid situational awareness, aid policy formulation and monitoring.
Description
Staff publications
Keywords
Data Analytics , Big Data , Data Mining , Management system , Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science
Citation
Ojerinde,A. and Adewole,P. (2018). Managing Human Induced Crisis with Big Data Infrastructure. Journal of Research and Review in Science, Vol.5:100-105pp.