Attributes | Description |
Type | New |
Industry Sector |
Business use cases
- Video Processing : Enhance Engagement Quality, Augment Video with information, Create Virtual environment, Transcribe engagements
- Telehealth : Appointment Scheduling, Payment Processing, Electronic Health Records
- Gamification : Reinforce Corrective Behavior, Track Progress, Generate Trends
- Learning Management System : AI Teacher Assist, Early Progress Prediction
IoT and Infrastructure Smart Edge |
Business driver |
With corona virus spreading worldwide, 62% Rural kids are missing their classes since the Pandemic started, due to no or very low internet bandwidth. While teachers and students are predominantly from surrounding areas, there is no need for the video feeds to be processed 100s or 1000s of miles away from the rural network. Processing at the edge will allow localized educational platform to operate with low internet bandwidth.
Patients and doctors need very high definition video to engage with real impact. 5G provides low latency/high bandwidth opportunity but unless the processing is done at the edge, near to where the doctor and patient is, the opportunity can't be utilized to improve doctor-patient engagements.
| |
Business use cases | A city is smart when investments in human and social capital, traditional infrastructure and disruptive technologies fuel sustainable economic growth and higher quality of life, with a wise management of natural resources, through participatory governance. This results from many diverse smart solutions across all sectors of society, filed by a combination of disruptive technologies and social innovation. |
Business Cost - Initial Build Cost Target Objective |
Host Video applications, Health Application, LMS on the edge, control plane on the cloud, and media plane close to customer site such as MEC servers in telco central offices.
We choose X86 server to deploy the MEC platform to reduce the cost.
•2 X86 Nodes ( The PowerEdge XE2420 provides a short-depth, dense, Dual-socket, 2U server)
•Kubernetes v 1.17 (Open Source)
Cost of a proof of concept, how to deploy an example of a smart city implementation across multiple suppliers and stakeholders. Cost is only for the hardware |
Business Cost – Target Operational Objective |
It more like a cloud platform, but it's specific for the edge site.
•It needs Helm and Ansible for the automation and management tools to keep operational cost lower
•Maintain a mixed edge platform including x86 and ARM.
•Kubernetes v1.17
•Android, IOS
•GPU ( NVIDIA V100/s or NVIDIA RTX6000)
•Both ARM and X86 can support it.
Varies widely depending on accessories. The IoT Gateway can be under $500 to over $5,000 | |
Security need | Security mechanisms that can be implemented at each layer of abstraction. PSA and PARSEC both provide a security framework. |
Regulations |
Varies depending on local regulations | |
Other restrictions | N/A |
Additional details |
N/A
Project Cassini is the open, collaborative, standards-based initiative to deliver a cloud-native software experience across a secure Arm edge ecosystem. Whether exploring the impacts of urbanization and climate change with software-defined sensor networks, pinpointing origins of power outages in smart grids with data provenance, or enhancing public safety initiatives through data streaming, Project Cassini leverages the power of diverse Arm-based platforms to create a secure foundation for edge applications. |
Family - Project Cassini - IoT and Infrastructure Edge
Use Case Attributes | Description | Informational |
Type | New | |
Blueprint Family - Proposed | Name | |
Use Case |
| |
Blueprint proposed Name | Tami COVID-19 Blueprint Family: RuralEdge | 2 PowerEdge XE2420 bare metal machines Dual-socket, 2U server, 1 10G switch, 1 GPU |
Scale & Type | For the smallest deployment, this requires 2 X86 bare metal machines. For large deployments, this could span to large number of bare metal machines. | |
Applications | Online Education(Sage.Camp), Telehealth(docs@home), Gamification(Roblox), Video Processing | |
| Power Restrictions | N/A | |
Infrastructure orchestration | Host: •Orchestrator: Kubernetes •Bare Metal Provisioning : Ansible •Kubernetes Provisioning: KuD •OS: Ubuntu •Database: MySQL /MariaDB •Application: Python, Node.js, React •GPU Driver: X86,NVIDIA •Network: OVS, WebRTC •GPU Driver (X86, NVIDIA) | |
SDN | N/A | |
Workload Type | •Android /IOS applications | |
Additional Details | N/AProject Cassini - IoT and Infrastructure Edge | There are many possible UCs that would be covered under Project Cassini |
Use Case | All of the use cases under Project Cassini | See below |
Blueprint proposed | Smart Cities | |
Initial POD Cost (capex) | Varies widely depending on the Blueprint | |
Scale of Servers | Varies widely depending on the Blueprint | |
Applications | Multiple workloads on devices and gateways, | |
Power Restrictions | None/Varies | |
Preferred Infrastructure orchestration | Docker/K8 - Container Orchestration OS - Linux | |
Additional Details |
BluePrint (Species) - Smart Cities
Case Attributes | Description | Informational |
Type | New | |
Blueprint Family - Proposed Name | Project Cassini - IoT and Infrastructure Edge Blueprint Family | SC - Smart Camera or other abbreviations |
Use Case | Traffic management to reduce congestion, monitor vehicle violations | With a few modifications, it is possible to change this blueprint to meet many similar Use Cases |
Blueprint proposed Name | Smart Cities | |
Initial POD Cost (capex) | Under $300 IoT Gateway- Nexcom SMARTER Stack | |
Scale & Type of Server | 1 IoT Gateway, a server on the edge is not needed | This is on the customer edge, thus there is no server. The IoT Gateway will handle the connection to the internet. |
Applications | Applications that can be managed remotely using cloud native practices | |
Power Restrictions | NA | None of the devices require power that is outside of a normal wall socket |
Infrastructure orchestration | VM - Linux | |
SDN (Software Defined Networking) | None | |
Workload Type |
| |
Additional Details |
Olivier Bernard will be PTL beginning April 2021 (pending TSC approval)
Committer | Committer Company | Committer Contact Info | Time Zone | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
| Arm |
| Olivier.Bernard@arm.com | GMT-8 | Director - High-Performance IoT | Y | |||
| Microsoft | cixing@microsoft.com | Pacific | ||||
| Sushant | Coredge | sushant@coredge.io | Asia | Y | ||
| @Alexander Su | Nexcom | alexander@nexcom.com | ||||
| JasonWenMyais | Myais | jason.wen@myais.com.cn | GMT+8 | |||
| Jack Liu | Myais | jack.liu@myais.com.cn | GMT+8 |