Ginpex (Goal-oriented INfrastructure Performance EXperiments) is being developed for
- Running experiments that induce certain load patterns on machines
- Use Ginpex as load generator
- Distribute load to multiple machines
- Convenient experiment specification with the experiment model editor
- Add machines dynamically to running experiments
- Automate experiments
- Integrate your own experiment logic into Ginpex experiment models
- Automatically deriving performance-relevant infrastructure parameters
- Ginpex ships with predefined experiments
- Use detected parameters for performance prediction, for example as input for the PCM
Infrastructure parameters in focus include
- OS scheduling parameters (timeslice length, load balancing policies)
- Resource parameters (HDD, network)
- Virtualization parameters (Virtualization overhead, ...)
Additional features include
- A UI editor to comfortably specify experiment specifications
- Java code generation based on specified experiment specifications for efficient experiment execution on any platform where Java is available
- Checkpoint functionality (snapshots) for long-running experiments
The main application scenario of Ginpex is embedded in model-based software performance prediction.
The architecture is based on the Performance Cockpit approach .
How to use Ginpex
Have a look at the Ginpex Cookbook for help on using Ginpex.
For questions, contact Michael Hauck.