Project Technical Lead:
...
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.
...
Committer | Committer Company | Committer Contact Info | Committer Bio | Committer Picture | Adnan Saleem | Radisys | adnan.saleem@radisys.com | Y | Bob Monkman (DeactivatedSelf Nominate for PTL (Y/N) | Prakash Siva | Radysis | ) | Ind. | N | Mohammad Sabir Hussain | Radisys | Mohammad.Hussain@radisys.com | N|||
Presentation:
| View file | ||||||||
|---|---|---|---|---|---|---|---|---|
|
Use Case Details:
Attributes | Description | Informational | ||
Type | New |
| ||
Industry SectorTelco Carrier Networks and Enterprises |
| |||
Business driver | Vast amounts of mobile/wireline data (predominantly video) is expected to continue to grow, particularly with 5G and IoT. Low latency, backhaul bandwidth restrictions/cost, and real time edge media analytics require media processing at network edges versus transporting all media to network core. Without the ability to process real time media at the network edges a number of new advanced applications would not be possible nor economically viable. |
| ||
Business use cases |
| |||
Business Cost - Initial Build Cost Target Objective | Initial build requires a small footprint POD with minimal fabric and management switch, 4+ compute nodes with optional GPU acceleration, local storage node(s), PSUs, rack, typically under $100K with SW |
| ||
Business Cost – Target Operational Objective Low operation cost, with support for remote FCAPS management, and ONAP based zero-touch resource and service orchestration
|
| |||
Security needPOD platform SW and application level security vulnerability scanning and automated patching capabilities required Media content security and user access authentication capabilities required |
| |||
Regulations | Depending on type of Edge Media application GDPR or other regulatory requirements may be applicable. NEBS may be required depending on deployment location and carrier network requirements |
| ||
Other restrictions | Depending on deployment location, a single half-height rack to multiple full-height racks at Edge DC or Edge CO locations may drive power and cooling requirements |
| ||
Additional details | Edge Media solution shall enable support for high density media processing via GPU or FPGA acceleration for advanced high density AI and ML applications and shall scale from single site to 100s in regional deployments to 1000s globally | Additional details on architecture and use cases documented in supplementary PPT |
...
Case Attributes | Description | Informational | ||
Type | New |
| ||
Blueprint Family - Proposed Name | Network Cloud, RT Cloud |
| ||
Use Case | Real Time Edge Media Processing |
| ||
Blueprint proposed |
|
| ||
Initial POD Cost (capex) Estimates (TBD) )
| ||||
Scale |
| |||
Applications | Edge Virtual Function Applications (reference) Edge deployments at enterprises, entertainment venues, factory automation plants, public facilities where real time media processing required |
| ||
Power Restrictions | TBD |
| ||
Preferred Infrastructure OrchestrationOS – CentOS or similar Linux, KVM Under Cloud – Airship OpenStack – VM Orchestration Docker + K8S - Container Orchestration VNF Orchestration - ONAP |
| |||
SDNOVS-DPDK, SR-IOV |
| |||
Workload Type | VMs, Containers |
| ||
Additional Details | Edge Media solution shall enable support for high density media processing via GPU or FPGA acceleration for advanced high density AI and ML applications. |
|