Rapid Development of a Data Visualization Service in an Emergency Response

被引：8

作者：

Khan, Saiful ^{[1
]}

Nguyen, Phong Hai ^{[3
]}

Abdul-Rahman, Alfie ^{[4
]}

Freeman, Euan ^{[5
]}

Turkay, Cagatay ^{[6
]}

Chen, Min ^{[2
]}

机构：

[1] Univ Oxford, Oxford OX1 2JD, England

[2] Univ Oxford, Sci Visualizat, Oxford OX1 2JD, England

[3] Univ Oxford, Redsift Ltd, Oxford OX1 2JD, England

[4] Kings Coll London, Comp Sci, London WC2R 2LS, England

[5] Univ Glasgow, Comp Sci, Glasgow G12 8QQ, Lanark, Scotland

[6] Univ Warwick, Ctr Interdisciplinary Methodol, Coventry CV4 7AL, W Midlands, England

来源：

IEEE TRANSACTIONS ON SERVICES COMPUTING | 2022年 / 15卷 / 03期

基金：

英国工程与自然科学研究理事会;

关键词：

Data visualization; COVID-19; Emergency services; Data models; Pandemics; Visual analytics; Service computing; Biomedical monitoring; Web services; services computing; service composition; services engineering; data visualization; epidemiological modeling; emergency response; REST; ontology; agents; open source; template-based development; rapid deployment; RAMPVIS; SOFTWARE; MODEL;

D O I：

10.1109/TSC.2022.3164146

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1251 / 1264

页数：14

共 52 条

[11]

Atzeni P, 2013, SIGMOD REC, V42, P64

[12] Visual supercomputing: Technologies, applications and challenges [J].