Project Committers detail:
Initial Committers for a project will be specified at project creation. Committers have the right to commit code to the source code management system for that project.
A Contributor may be promoted to a Committer by the project’s Committers after demonstrating a history of contributions to that project.
Candidates for the project’s Project Technical Leader will be derived from the Committers of the Project. Candidates must self nominate by marking "Y" in the Self Nominate column below by Jan. 16th. Voting will take place January 17th.
Only Committers for a project are eligible to vote for a project’s Project Technical Lead.
Please see Akraino Technical Community Document section 3.1.3 for more detailed information.
|Committer Bio||Committer Picture|
Self Nominate for PTL (Y/N)
|Jennifer Koerv||Intel||Intel Open Source Technology Center – Edge Arch and Pathfinding|
|Andrew Bays||Red Hat|
|David Lyle||Intel||David Lyle||Intel Open Source Technology Center- Edge Arch and Pathfinding|
|Mikko Ylinen||Intel||Mikko Ylinen||Intel Open Source Technology Center- Edge Arch and Pathfinding|
|Ned Smith||Intel||Ned Smith||Intel Open Source Technology Center- Edge Arch and Pathfinding; Security, Trusted Computing, Privacy, Safety.|
|Yolanda Robla||Red Hat||Yolanda Robla Mota||Red Hat NFVPE - Edge, baremetal provisioning||Y|
|Ricardo Noriega||Red Hat||Ricardo Noriega|
Red Hat NFVPE - CTO office
|Manjari Asawa||wipro||Manjari Asawa <firstname.lastname@example.org>|
to be identified once the proposal is accepted
to be developed once the proposal is accepted
- will be established once the proposal is accepted
Use Case Template
Business Use Cases
Business Cost - Initial Build Cost Target Objective
Business Cost – Target Operational Objective
Blueprint Family - Proposed Name
Kubernetes-Native Infrastructure for Edge (KNI-Edge)
|Industrial Edge (IE)|
Blueprint - Proposed Name
Industrial Edge (IE)
Initial POD Cost (CAPEX)
Scale & Type
3 servers to 1 rack; x86 servers (Xeon class)
IoT Cloud Platform, Analytics/AI/ML, AR/VR, ultra-low latency control
End-to-end Service Orchestration: n/a