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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

High level (Things might change (smile) )

First half (Kuralamudhan Ramakrishnan (Deactivated) Dileep Ranganathan Forrest Zhao

ICN Infra Local Controller improvement

  • Bug fixes
  • Enhancements of infra-local-controller: User experience (UI), VM based K8S 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
  • K8S Native Edge secure connectivity: using  K8S CRs (firewall CRD,  NAT CRD,  IPSEC CRD, MWAN3 CRD and IPVS CRD)
  • 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
  • E2E testing

DCM (Distributed Cloud Manager)

  • Helping ONAP4K8S Upstream project with "Distributed Cloud Manager" and corresponding integration and testing.
  • Completion of EdgeXFoundry use case 
  • Completion of
  • 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 features
  • SDWAN vIPSEC 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
    use
    • uses acceleration features.
  • vIPSEC use case with Helm charts and leveraging Crypto accelerator (QAT) device.
  • Integration of OpenNESS
  • Completion of enabling all device plugins to expose HW features.
  • Enable DPDK for OVN CNI
  • Enable QAT for virtlet. So that the VM/VNF has the capability of QAT
  • ???
  • 2nd half:
    • E2E testing

Enhancement of ICN Deployment

  • Infra-global controller using Cluster API
  • offline 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 is continue 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


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