IRIS Explorer: a framework for investigation
ACM SIGGRAPH Computer Graphics - Special focus: modular visualization environments (MVEs)
Chromium: a stream-processing framework for interactive rendering on clusters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Java Deployment: with JNLP and WebStart
Java Deployment: with JNLP and WebStart
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
Grid-Distributed Visualizations Using Connectionless Protocols
IEEE Computer Graphics and Applications
Visualization Handbook
Visualization in Grid Computing Environments
VIS '04 Proceedings of the conference on Visualization '04
The Definitive Guide to Java Swing, Third Edition (Definitive Guide)
The Definitive Guide to Java Swing, Third Edition (Definitive Guide)
The grid core technologies
Distributed Graphics Pipelines on the Grid
IEEE Distributed Systems Online
The XtreemFS architecture—a case for object-based file systems in Grids
Concurrency and Computation: Practice & Experience - Selection of Best Papers of the VLDB Data Management in Grids Workshop (VLDB DMG 2007)
Equalizer: A Scalable Parallel Rendering Framework
IEEE Transactions on Visualization and Computer Graphics
Parallel discrete element simulation of poly-dispersed granular material
Advances in Engineering Software
Web-based grid-enabled interaction with 3D medical data
Future Generation Computer Systems
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Grid visualization e-service VizlitG is developed for Lithuanian grid infrastructure based on gLite middleware. The client---server architecture of the e-service VizLitG is based on widely recognized web standards implemented in Java EE 6 platform and GlassFish application server. VizLitG is designed for convenient access and interactive visualization of remote data files located in storage elements of gLite-based grid infrastructure. Partial dataset transfer from the experimental storage element is developed in order to reduce the communication time and achieve interactive rates. The performance of VizLitG is evaluated visualizing poly-dispersed particle systems of different sizes in a geographically distributed grid. The attention is focused on the performance of data transfer from the storage elements and its contribution to the total benchmark time. Different types of software are employed for data transfer in order to present the quantitative comparison.