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VisDM-A Data Stream Visualization Platform
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
2017 (English)In: Database Systems For Advanced Applications (DASFAA 2017), Proceedings Pt II / [ed] Candan, S Chen, L Pedersen, TB Chang, L Hua, W, SPRINGER INTERNATIONAL PUBLISHING AG , 2017, p. 677-680Conference paper, Published paper (Refereed)
Abstract [en]

Visual Data stream Monitor (VisDM) is a new approach to integrate a visual programming language with a data stream management system (DSMS) to support the construction, configuration, and visualization of data stream applications through a set of building blocks, Visual Data Flow Components (VDFCs). This functionality is provided by extending the LabVIEW visual programming platform to support easy declarative specification of continuous visualizations of continuous query results. With actor-based data flows, visualization of data stream output becomes more accessible.
Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2017. p. 677-680
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10178
Keywords [en]
Data stream management, Data stream visualization, Visual data flow programming
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-346844DOI: 10.1007/978-3-319-55699-4_45ISI: 000412832600045ISBN: 978-3-319-55698-7 (print)ISBN: 978-3-319-55699-4 (electronic)OAI: oai:DiVA.org:uu-346844DiVA, id: diva2:1193756
Conference
22nd International Conference on Database Systems for Advanced Applications (DASFAA), MAR 27-30, 2017, Suzhou, PEOPLES R CHINA
Available from: 2018-03-27 Created: 2018-03-27 Last updated: 2018-03-27Bibliographically approved

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Melander, LarsOrsborn, KjellRisch, Tore

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