Eclipse Gran Sasso
Eclipse Gran Sasso predicts performance of cloud-native enterprise Java applications and traditional application servers using AI/ML techniques. By building deep learning models and using associated ML tools, we will be able to prescribe optimal resource allocation and costs for given user loads.
Basics
- Project ID: ee4j.gransasso
- PMI: https://projects.eclipse.org/projects/ee4j.gransasso
- Website: https://github.com/eclipse-ee4j/gransasso
- Download CSV: Commits , Issues , Reviews , IP Lab requests
Active repositories
| Repository | Commits | Reviews | Issues |
|---|
This project has no activity.
The EMO oversees the lifecycle of Eclipse projects, trademark and IP management, and provides a governance framework and recommendations on open source best practices.
See the project’s PMI page at https://projects.eclipse.org/projects/ee4j.gransasso
Releases
Reviews
- Creation (2021-12-01) – see review
IP Lab requests
Security related information is not yet available for this project. In order to gather such information automatically, Self Service
of GitHub resources needs to be enabled for this project.