Rapid development of a data visualization service in an emergency response

Khan, S., Nguyen, P. H., Abdul-Rahman, A., Freeman, E. , Turkay, C. and Chen, M. (2022) Rapid development of a data visualization service in an emergency response. IEEE Transactions on Services Computing, 15(3), pp. 1251-1264. (doi: 10.1109/TSC.2022.3164146)

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Abstract

We present the design and development of a data visualization service (RAMPVIS) in response to the urgent need to support epidemiological modeling workflows during the COVID-19 pandemic. Facing a set of demanding requirements and several practical challenges, our small team of volunteers had to rely on existing knowledge and components of services computing, while thinking on our feet in configuring services composition and adopting suitable approaches to services engineering. Through developing the RAMPVIS service, we have gained useful experience of ensuring conformation to services computing standards, enabling rapid development and early deployment, and facilitating effective and efficient maintenance and operation with limited resources. This experience can be valuable to the ongoing effort for combating the COVID-19 pandemic, and provides a blueprint for visualization service development when future needs for visual analytics arise during emergency response.

Item Type:Articles
Additional Information:The second phase of this work (February 2021 - January 2022) was supported by EPSRC under Grant EP/V054236/1.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Freeman, Dr Euan
Authors: Khan, S., Nguyen, P. H., Abdul-Rahman, A., Freeman, E., Turkay, C., and Chen, M.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:IEEE Transactions on Services Computing
Publisher:IEEE
ISSN:1939-1374
ISSN (Online):1939-1374
Published Online:01 April 2022
Copyright Holders:Copyright © 2022 IEEE
First Published:First published in IEEE Transactions on Services Computing 15(3):1251-1264
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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