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- The key component KubeEdge is a unique design from scratch of edge nodes and edge cloud, with all source code developed in the upstream CNCF KubeEdge Project.
- Type I of KubeEdge Edge Service family focuses an edge stack listed in the next slide of the use case ML Inference Offloading on x86 edge servers.
- This blueprint family will leverage various infrastructures. Arm servers support is the next casewill be supported. This blueprint family is infrastructure neutral.
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Use case 3: Smart building scenario, KubeEdge can be perfectly used in helping the smart building local data processing. Lately, IoT sensors have been used in commercial buildings, however due to the data security requirement, most of IoT data need to be processed on-perm. Hundreds of data processing systems support different commercial tenants.
Where on the Edge
Industry Sector: Cloud, Enterprise, Telco
Edge computing leverages edge locations to distribute application loads among device/edge/cloud. A service layer is required to bridge infrastructure platform and applications. e.g. load distribution coordination, hardware platform agnostic, etc. KubeEdge extends native containerized application orchestration capabilities to hosts at Edge. Along with other vertical domain support such as device twin at edge, KubeEdge edge service stack is geared to offer feature rich support to applications while remain platform neutral. Business Drivers
Overall Architecture
The overall system contains cloud, edge and device three parts.
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Device - Android smart camera or smart phone, emotion recognition App.
Platform Architecture
Cloud - AWS virtual machine, 8 cores, 32 GB memory, 80GB EBS disk
Edge -
On Prem Edge: Intel Xeon E5-2620, 16 cores, 128 GB memory, 3TB disks
Cloud Edge: AWS virtual machine, 4 cores, 16 GB memory, 80GB EBS disk
Device - Android emulator, Pixel 2 API 29, Android 10.0
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