2. An Introduction to the IVC Software Framework
Bruce Herr (Lead Developer)
Shashikant Penumarthy (Team Lead)
* Briefly introduce who I am, who I work for, and what I do.
* Briefly explain what the IVC is about.
November 2nd, 2005

3. Funding Opportunities
Grant Awards
Papers and Patents
Knowledge Webs
Funding Opportunities
Database
Software
Diverse datasets
Web Interface
Search
Analysis
Download
Explain what each part of the IVC is:
DB provides a vast amount of datasets to be searched and analyzed
SW provides data analysis, modeling, and visualization algorithms
CR s allows the InfoVis community to access our computing resources for research
LM s help people to learn about InfoVis, how to apply it, and when to use certain vis/algorithms
Compute Resources
Learning Modules

4. Database Software Compute Resources Learning Modules Diverse datasets
Data analysis
Modeling
Visualization
Preprocessing
Tools
Web Interface
Search
Analysis
Download
Explain what each part of the IVC is:
DB provides a vast amount of datasets to be searched and analyzed
SW provides data analysis, modeling, and visualization algorithms
CR s allows the InfoVis community to access our computing resources for research
LM s help people to learn about InfoVis, how to apply it, and when to use certain vis/algorithms
Compute Resources
Learning Modules

5. Database Software Compute Resources Learning Modules Diverse datasets
Web Interface
Search
Analysis
Download
Data analysis
Modeling
Visualization
Preprocessing
Tools
Explain what each part of the IVC is:
DB provides a vast amount of datasets to be searched and analyzed
SW provides data analysis, modeling, and visualization algorithms
CR s allows the InfoVis community to access our computing resources for research
LM s help people to learn about InfoVis, how to apply it, and when to use certain vis/algorithms
Compute Resources
Learning Modules
Computing access
2 Sun V1280s with 12x900Mhz CPUs and 96GB RAM each
1 Sun V880 with 4 CPUs and 8GB RAM
2 Sun V490s with 4x1.35Ghz CPUs and 16GB RAM each
Etc…

6. Database Software Compute Resources Learning Modules Diverse datasets
Web Interface
Search
Analysis
Download
Data analysis
Modeling
Visualization
Preprocessing
Tools
Explain what each part of the IVC is:
DB provides a vast amount of datasets to be searched and analyzed
SW provides data analysis, modeling, and visualization algorithms
CR s allows the InfoVis community to access our computing resources for research
LM s help people to learn about InfoVis, how to apply it, and when to use certain vis/algorithms
Compute Resources
Learning Modules
Computing access
Learn about InfoVis
How to use algorithms
What algorithms to use
Application of InfoVis

7. Database Software Compute Resources Learning Modules Diverse datasets
Web Interface
Search
Analysis
Download
Data analysis
Modeling
Visualization
Preprocessing
Tools
Explain what each part of the IVC is:
DB provides a vast amount of datasets to be searched and analyzed
SW a framework designed for integration of data analysis, modeling, and visualization algorithms
CR s allows the InfoVis community to access our computing resources for research
LM s help people to learn about InfoVis, how to apply it, and when to use certain vis/algorithms
Compute Resources
Learning Modules
Computing access
Learn about InfoVis
How to use algorithms
What algorithms to use
Application of InfoVis

8. Motivation for the IVC Software Framework
* Briefly introduce who I am, who I work for, and what I do.
* Briefly explain what the IVC is about.
Then describe the typical frustrations a research scientist must go through.

9. The Problem Lots of diverse tools Diverse data formats
Algorithms rewritten ad infinitum
Bad/unintuitive user interfaces
Scientists unwilling to share code
Need:
Diverse tools statistics
Diverse data formats statistics

10. The Solution An open-source tool for integration of algorithms
Independence
Platform independence
GUI toolkit independence
Data model independence
Incentives for scientists to contribute and use it

11. IVC Software Framework Architecture

12. IVC Software Framework Goals
Ease of use
Ease of development
Scalability
Extensibility

13. IVC Software Framework Features
Ease of Use
Graphical installer/uninstaller
GUI based interface
Consistent GUI for algorithms
Plug-ins (data, algorithms, viz, etc..) are added through the GUI
All updating done through the GUI
Session logging

14. IVC Software Framework Features
Ease of Development
Graphical code-generating templates
A simple and well defined Java API
Support for non-Java based algorithms
Plug-in framework based off of Eclipse RCP platform
Well-documented, supported, and established platform
Multi-platform compatibility
Add What currently have integrated

15. IVC Software Framework Features
Scalability
Plug-in system is based on Eclipse RCP
Built for handling large amounts of plug-ins
Most scalability concerns are at the plug-in level
Can conserve memory by not fully loading datasets into memory

16. IVC Software Framework Features
Extensibility
Everything is a plug-in
API is a plug-in
GUI is a plug-in and is swappable
Algorithms, visualizations, etc… are plug-ins
Data persister plug-ins support new data formats
Datasets are plug-ins
Extend features through the plugin.xml schema

17. IVC Software Framework Features
Future Extensions
Scripting support
Branding support
Visualization framework
Interfacing with existing tools (eg. ‘R’)
Replayable logs
Meta-data
Different user-interfaces
Command line
Text/console
Web-based