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The killer apps for this family will applications that can take advantage of the compute power at the device edge. Two examples would be Computer Vision and AI/MI. For computer vision applications, a large pipe is needed to stream the video to the edge device, then it can process the video and send responses back to the edge components and/or send a filtered set back to the cloud. Having the ability to do compute at the edge allows for AI/MI at the edge, thus predictions can be created without leaving the device
Family-
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Project Cassini - IoT and Infrastructure Edge
Use Case Attributes | Description | Informational |
Type | New-approved March 2020 | |
Blueprint Family - Proposed Name | Industrial IoT at the Smart Device EdgeProject Cassini - IoT and Infrastructure Edge Blueprint Family | There are many possible UCs that could be done at the Industrial Smart Device Edge, so family might |
Use Case | Predictive Maintenance | This family is focused on how to bring data into the smart device edge and then do some type of compute there on the device. |
Blueprint proposed | Predictive Maintenance- Using a thermal imaging camera | This is the first proposed blueprint |
Initial POD Cost (capex) | Varies widely depending on the Blueprint | |
Scale of Servers | Smart Device Edge size | Largest would be an IoT Gateway, with the smallest being the compute power of a Raspberry Pi. These are very limited devices as compared to machines that are currently found at the On-Prem Data Center Edge. |
Applications (Edge Virtual Network Functions) | EVE, Fledge | |
Power Restrictions | None/Varies |
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Preferred Infrastructure orchestration | Docker/K8 - Container Orchestration OS - Linux | |
Additional Details |
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