webVis/instant3DHub-Visual Computing as a Service Infrastructure to deliver adaptive, secure and scalable user centric data visualisation

被引：13

作者：

Behr, Johannes ^{[1
]}

Mouton, Christophe ^{[3
]}

Parfouru, Samuel ^{[3
]}

Champeau, Julien ^{[3
]}

Jeulin, Clotilde ^{[3
]}

Thoener, Maik ^{[1
,2
]}

Stein, Christian ^{[1
,2
]}

Schmitt, Michael ^{[1
,2
]}

Limper, Max ^{[1
,2
]}

de Sousa, Miguel ^{[1
,2
]}

Franke, Tobias Alexander ^{[1
,2
]}

Voss, Gerrit ^{[1
,2
]}

机构：

[1] Fraunhofer IGD, Darmstadt, Germany

[2] Tech Univ Darmstadt, Darmstadt, Germany

[3] EDF, PLM Project, Paluel, France

来源：

WEB3D 2015 | 2015年

关键词：

Computer Aided Design (CAD); Model-Driven System; Plant Lifecycle Management (PLM); WebGL; X3D; ISO standards;

D O I：

10.1145/2775292.2775299

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the webVis / instant3DHub platform, which combines a novel Web-Components based framework and a Visual Computing as a Service infrastructure to deliver an interactive 3D data visualisation solution. The system focuses on minimising resource consumption, while maximising the end-user experience. It utilises an adaptive and automated combination of client, server and hybrid visualisation techniques, while orchestrating transmission, caching and rendering services to deliver structural and semantically complex data sets on any device class and network architecture. The API and Web Component framework allow the application developer to compose and manipulate complex data setups with a simple set of commands inside the browser, without requiring knowledge about the underlying service infrastructure, interfaces and the fully automated processes. This results in a new class of interactive applications, built around a canvas for real-time visualisation of massive data sets.

引用

页码：39 / 47

页数：9

共 19 条

[1]

AVEVA, 2001, AV PDMS DES REF MA 3

[2]

Behr J., 2009, WEB3D 09 P 14 INT C, P127, DOI DOI 10.1145/1559764.1559784

[3]

Behr J, 2012, WEB3D 2012, P17

[4] Interviews 3D:: A platform for interactive handling of massive data sets [J].