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Blueprint

PTL

2020 Goals

SEBA

Julie Lorentzen – AT&T


Serverless

Itamar Eshet- AT&T


Unicycle SR-IOV

David Plunkett- AT&T


Rover

David Plunkett- AT&T


Unicycle OVS-DPDK

Jeff Collins - Ericsson


Tungsten Fabric

Sukdev Kapur - Juniper


Edge Video Processing

Adnan Saleem- Radisys


Enterprise Edge Lightweight and IoT

Khemendra Kumar- Huawei


ELIOT SD-WAN/WAN Edge/uCPE

Khemendra Kumar- Huawei


IEC Type 1

Trevor Tao (ARM)


IEC Type 2

Xinhuli (VMWare)


IEC Type 4

Wenping Ying (HTC)


Industrial Edge

Yolanda Robla – Red Hat


Provider Access Edge

Yolada Robla – Red Hat


Micro MEC

Tapio Tallgren- Nokia


Radio Edge Cloud

Paul Carver- AT&T


Starling X

Bill Zvonar- Wind River


Time Critical Edge

Shane Dewing- Intel


Connected Vehicle

Robert Qiu- Tencent


AI/ML and AR/VR Apps for Edge

Vikram Siwach - MobiledgeX


Integrated Cloud Native NFV/App Stack

Kuralamudhan Ramakrishnan -  Intel

ICN Infra Local Controller improvement

  • Bug fixes
  • Enhancements of infra-local-controller: User experience (UI), VM based deployment in Edge location etc.
  • Zero Touch Provisioning ICN Launch Dashboard
  • Performance Dashboard for HPA features in ICN
  • Completion of EdgeXFoundry use case

SDWAN Controller

  • Completion of SDWAN value-added connectivity to ICN
    • ONAP4K8S Edge location Native Edge secure connectivity: Developing objects to represent
  • firewall definition,
  • NAT definition
    • IPSEC definition

  • MWAN3 definition
  • IPVS definition
  • Integration of "K8S Native Edge Secure Connectivity" feature with corresponding ONAP4K8S CLUSTERLCM_SDWAN Controller and ONAP4K8S APP_LCM_SM Controller.
  • IPSEC tunnelling between SDWAN controller in each edge location
  • Intercommunication between the edge location using SDWAN HUB
  • E2E testing

    • DCM (Distributed Cloud Manager)

    • Developing Logical cloud in edge location with QoS
    • ONAP4K8S Upstream project with "Distributed Cloud Manager" and corresponding integration and testing.
    • Development on User, Namespace, Logical cloud controller along with DCM
    • E2E testing

    Integration of OpenNESS with ONAP4K8s

    • Using KUD to install the OpenNess edge node and Openness controller
    • Using OVN4NFV in OpenNess
    • Helm chart deployment for OpenNESS in ONAP4K8s
    • Edge location ONAP Cluster schedule the workload directly in the OpenNess Edge location
    • Traffic Rules to set with OVN using Network Policy for External Provider Network
    • E2E testing

    ONAP4K8S HPA Features in ICN

    • FPGA. GPU, Core Pining, NUMA awareness
    • SDWAN IPsec uses case with Helm charts and leveraging Crypto accelerator (QAT).
    • E2E testing for HPA features with a single CNFs

    Distributed Analytics use case 

    Ensure that Distributed Analytics is upgraded with  OpenVINO

  • Ensure that Distributed Analytics uses acceleration features.
  • E2E testing

    • Enhancement of ICN Deployment

  • Infra-global controller using Cluster API
  • Offline installer
  • Improve the performance of infra-local controllers: Ensure that 3 node cluster is brought up in less than 5 minutes - 3 Minutes is ideal.
  • Reuse of bootstrap node as worker node for application workloads (Migration of infra-local controller micro-services from bootstrap K8S to application cluster as infra-local controller functionality continues to be required throughout the edge life cycle to enable software upgrades/patches.
  • L2/L3 Switch configuration automation (VLAN configuration and others)
    • Do necessary steps to take ICN to mature stage

    ELIOT AIoT in Smart Office Blueprint

    Guoxu (Jeremy) Liu


    5G MEC/Slice System to Support Cloud Gaming, HD Video and Live Broadcasting

    Feng Yang -Tencent


    The AI Edge – School/Education Video Security Monitoring

    Hechun Zhang - Baidu


    ...