Skip to end of metadata
Go to start of metadata
You are viewing an old version of this page. View the current version.
Compare with Current
View Page History
« Previous
Version 2
Next »
| Project, Workstream, or committee | Best contact for followup questions (Use @ notation) | What has changed? | Why is this significant/beneficial to a user/consumer of Anuket? | Notes, links to more information, etc. |
|---|
| ViNePerf | Sridhar Rao | - Support for Kubernetes dataplane benchmarking - east-west traffic - is added.
- Two new tools (stress generator for kubernetes dataplane benchmarking and cloud information collector tool to automate the testing) are added.
- Support for building using newer version of DPDK/OVS-DPDK is added.
- Minor bug fixes (Qemu build, VPP Build, T-Rex)
| - The East-West dataplane benchmarking, using would be ver
|
|
| Thoth | Sridhar Rao | - 6 Models under VM failure prediction is included (4 LSTM-variations, CNN and Decision Tree).
- Two research studies (ML Problems and Techniques for NFV and OSS projects for ML in NFV) are included.
- Two tools (Model Selector and Data Extractor) are included.
| - ModelSelector suggests the best model to start with, based on the data and problem in hand. This can be very useful and save significant time to the users.
- The research studies gives the thorough information about the state-of-art for ML in NFV.
- The Virtual-Machine FP models improves the performance compared to the existing models.
|
|
