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Attributes

Description

Informational

Type

New


Industry Sector

Telco, Cloud 


Business driver

  • Edge cloud requires initiatives for cloud gaming on Android platform  
  • 5G + edge bring low latency and high-throughput for cloud gaming, which improves user experience
  • More and more Android applications will migrate into edge compute platform. Building an android platform is necessary, and it's rigid demand. 


Business use cases

  Android Cloud Gaming

  •   AR/VR  Android Application 

  • Business Cost - Initial Build Cost Target Objective

    Using virtualization technology instead of mobile chip board on ARM server will reduce the cost of android platform.  ARM server board also let android platform more flexible and more agile.

    In order to support cloud gaming and AR/VR, ARM server need have GPU inside. 

    • 2 ARM Nodes
    • Kubernetes v 1.17 for ARM
    • Android 10Android 9.0
      • GPU (AMD, NVIDIA)
    • Android virtualization layer: AnboxRobox, docker.


    Business Cost – Target Operational Objective

    It more like a cloud platform, but it's specific for android application.  

    • It needs Helm and Ansible for the automation and management tools to keep operational cost lower
    • It needs to monitor the status of android system status and application status. 
    • Maintain a mixed edge platform including x86 and ARM. It's more complex
    • Kubernetes v1.17 for ARM
    • Android 9Android 10.0
      • GPU (AMD, NVIDIA)
    • Host OS kernel optimization;
    • Android virtualization layer: AnboxRobox, docker.
    • GPU (AMD, /NVIDIA)
    • Both ARM and X86 can support it.


    Security need

    Security is very important in this use case, especially for containerized android system. 


    Regulations

    N/A


    Other restrictions

    N/A


    Additional details

    N/A


    ...

    Case Attributes

    Description

    Informational

    Type

    New


    Blueprint Family - Proposed   Name

    Integrated Edge Cloud (IEC)


    Use Case

    Cloud Gaming and AR/VR


    Blueprint proposed Name

    IEC Type 3: Android cloud native applications on Arm servers in edge


    Initial POD Cost (capex)

    2 ARM bare metal machines, 1 10G switch, 1 AMD GPU, 1 NIVIDA GPU


    Scale & Type

    For the smallest deployment, this requires 2 ARM bare metal machines. For large deployments, this could span to large number of bare metal machines.


    Applications

    Android application, such as cloud gaming, VR/AR.

    Power Restrictions

    N/A


    Infrastructure orchestration

    Host:

    Orchestrator

    :

     Kubernetes

    • Bare Metal Provisioning:AnsibleKubernetes Provisioning:KuD
    • OS: Ubuntu
    • GPU Driver: AMD,NVIDIA:
    • Network: OVS 
    • Android virtualization layer: Anbox, docker.Robox container
    • Host OS kernel optimization

    Guest OS Andriod: 

    • GPU Driver (AMD, NVIDIA)


    SDN

    N/A


    Workload Type

    • Android applications 


    Additional Details

    N/A


    ...

    Committer

    Committer

    Company

     Committer Contact Info

    Committer Bio

    Committer Picture

    PTL

    Yongsu ZhangByteDancezhangyongsu@bytedance.com


    Kairui SheByteDanceshekairui@bytedance.com


    Shi LeiChina Mobileshileiyj@chinamobile.com


    Armtrevor.tao@arm.com


    Jingzhao NiArmjingzhao.ni@arm.com


    Jianlin LvArmjianlin.lv@arm.com


    Hanyu DingChina Mobiledinghanyu@chinamobile.com

     to  

    Wales Wang WeiXunMobile Intelligence Cloud Co.waleswang@runtronic.com


    Ming LiNVIDIAmingl@nvidia.com


    zhaoruizhebytedancezhaoruizhe@bytedance.com


    Yanjun ChenChina Mobilechenyanjunyjy@chinamobile.com


     Tide WangPhytiumwanghailong@phytium.com.cnYanning WangPhytiumwangyanning@phytium.com.cn 














    As per the Akraino Community process and directed by TSC, a blueprint which has only one nominee for Project Technical Lead (PTL) will be the elected lead once at least one committer seconds the nomination after the close of nominations.  If there are two or more, an election will take place.Mobile Intelligence Cloud Co.(www.higgsgod.net) provide the Lab for integration and validation:




    TS2280v1

    TS2280v2

    CPU

    2x 32 core 2.4 GHz Hi1616 Processors

    2x 32 core 2.6 GHz Hi1620 Processors

    RAM

    8x 16GB RDIMM-Tx2 

    8x 16GB DDR4-DIMM

    Storage

    2x 1TB SSD

    2x 1TB SSD

    Networking

    2x 1/10Gbe BASE-T (1 connected)
    1x IPMI  Lights-out Management

    2x 1/10Gbe SFP+ (connected)

    1x IPMI / Lights-out Management

    GPU

    1 AMD GPU ,1 NVidia GPU

     

    ...