The document proposes a common base architecture that can be used across cloud, edge, and IoT devices. This universal architecture would allow applications to be tested on a single device during development and then deployed across different device types more flexibly. It involves creating a common container-based system software stack that can run on various hardware platforms and be managed as a distributed computing fabric using Kubernetes concepts like pods and clusters. Key goals are hardware abstraction, distributed management of capabilities and resources, and robust deployment of applications in different situations and environments.

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6. IoT
Devices
Robot
App
Robot
App
Cloud
IoT
Devices
Robots
App App
App App
App
App
Common Base Architecture for Everyone
What’s the problem?
• Different Architecture for Cloud and Edge device.
• Take time to setup environment and run application.
• IoT Device is really statistic implementation.
What we wanna do?
• Common Base Architecture for everyone.
• During Development, we can test every service on
single device.
• More Flexibility for Application. More like EcoSystem.
Cloud
Robots
Cloud
App
Cloud
App
Sensor
App
Sensor
App

7. Edge Node
Application
Container
System
Ext APIs
Application
System
Services
Kernel & Drivers
Output
Edge Node
Kernel & Drivers
Edge Cluster Network
(Slave Cluster)
EdgeCluster
Master
Capabilities
NodeController
NodeController
Application
Container
System
Ext APIs
Application
System
Services
Output
Capabilities
Cloud Cluster Network
(Host Cluster)
Federation
Cloud Node
Application
Container
Application
NodeController
Kernel & Drivers
GPUAccess
Cloud Node
Application
Container
Application
NodeController
Kernel & Drivers
GPUAccess
CloudCluster
Master
x86 arm64
Accelerator
Accelerator

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16. ⚫ Discovery / Available vendor hardware and devices.
⚫ No Kubernetes code changed, flexibility to extend.
⚫ Participant into k8s cluster system with device specification.
Master Slave
Scheduler
kubeletAPI server
Device Plugin
(DaemonSets Preferred)
K8s system components
Vendor components
GPU
GPU
GPU
GPU
Application
Pods
ExtendResource
Vendor.com/gpus
List/Watch/Allocate
1. Advertise
2. Registration
4. Request
3. Pod Create
5. Allocate
6. Mount

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18. Node
Application Pod
Host API
Binding
Sony
Container
Runtime
System
Services
Kernel & Drivers
HostAPI
Edge Cluster Network
(Slave Cluster)
EdgeCluster
Master
Capabilities
NodeController
x86
Sony
Container
Runtime
Permission
Security
Application Application
Node
Application Pod
Host API
Binding
Sony
Container
Runtime
System
Services
Kernel & Drivers
HostAPI
Capabilities
NodeController
Sony
Container
Runtime
Permission
Security
Application Application
Node
Application Pod
Host API
Binding
Sony
Container
Runtime
System
Services
Kernel & Drivers
HostAPI
Capabilities
NodeController
Sony
Container
Runtime
Permission
Security
Application Application
arm64 arm64
Distributed System
Access/Capability Management

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Cloud Network Edge Network
Discovery
Undiscovery
Orchestration
Robustness
Fault Tolerant

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Situation#2
Situation#1
Cluster Master
Different Situation,
Different Environment
to
Different Application
App
Pod
App
Pod
Request Application
Deployment
App
Pod
App
Pod

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