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Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations

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Title: Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations
Authors: Fernando, S
Scott-Brown, J
Şerban, O
Birch, D
Akroyd, D
Molina-Solana, M
Heinis, T
Guo, Y
Item Type: Journal Article
Abstract: Scalable resolution display environments, including immersive data observatories, are emerging as equitable and socially engaging platforms for collaborative data exploration and decision making. These environments require specialized middleware to drive them, but, due to various limitations, there is still a gap in frameworks capable of scalable rendering of data visualizations. To overcome these limitations, we introduce a new modular open-source middleware, the Open Visualization Environment (OVE). This framework uses web technologies to provide an ecosystem for visualizing data using web browsers that span hundreds of displays. In this paper, we discuss the key design features and architecture of our framework as well as its limitations. This is followed by an extensive study on performance and scalability, which validates its design and compares it to the popular SAGE2 middleware. We show how our framework solves three key limitations in SAGE2. Thereafter, we present two of our projects that used OVE and show how it can extend SAGE2 to overcome limitations and simplify the user experience for common data visualization use-cases.
Issue Date: 11-Jun-2020
Date of Acceptance: 6-Jun-2020
URI: http://hdl.handle.net/10044/1/80277
DOI: 10.1016/j.future.2020.06.011
ISSN: 0167-739X
Publisher: Elsevier BV
Start Page: 785
End Page: 799
Journal / Book Title: Future Generation Computer Systems
Volume: 112
Copyright Statement: © 2020 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: European Commission
European Commission Directorate-General for Research and Innovation
Funder's Grant Number: GA 743623
Keywords: Distributed Computing
0803 Computer Software
0805 Distributed Computing
0806 Information Systems
Publication Status: Published
Online Publication Date: 2020-06-11
Appears in Collections:Computing