The role of intelligent sensors in the cloud public
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The document discusses the role of intelligent sensors in the cloud and edge computing. It outlines the advantages of compute at the edge such as minimizing latency, reducing bandwidth costs, and improving reliability. The 3Cs of the intelligent edge are described as connect, compute, and control insights. Instructions are provided on setting up an IoT edge device and links are included for further information on how IoT edge works and Microsoft Build.
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The role of intelligent sensors in the cloud public
- 1. The Role of Intelligent Sensors in the cloud • Mostafa Elzoghbi • Sr. ML Engineer / Experience and Devices group (E+D) • @MostafaElzoghbi • http://mostafa.rocks
- 3. Cs • Connect • Compute • Control insights
- 4. • Advantages of compute at the edge: • Minimize latency • Reduce bandwidth • Lower cost • Reduce threats • Avoid duplication • Improve reliability • Maintain compliance • Deploy Intelligent Apps 3Cs of Intelligent Edge
- 9. neural network at the edge
- 14. Linux: sudo pip install -U azure-iot-edge-runtime-ctl sudo iotedgectl setup –connection-string “{device- connection-string}” --nopass sudo iotedgectl start
Hinweis der Redaktion
- Source: https://www.hpe.com/us/en/insights/articles/the-intelligent-edge-what-it-is-what-its-not-and-why-its-useful-1704.html 1. Minimize latency. There are many applications that require immediate insight and control. For some mission-critical functions, compute must take place at the edge because any latency is intolerable. Consider a robot arm in a shop process that requires precision adjustments and calibration to maintain product quality. If the factory is churning out 50 products per minute, it's important the calibrations be done in real time to minimize defects. 2. Reduce bandwidth. Sending big data back and forth from things to the cloud can consume enormous bandwidth. Edge computing is the easiest solution to this problem. 3. Lower cost. Even if bandwidth is available, it can be costly. Efficiency is an important element of any corporate IoT strategy. 4. Reduce threats. When you transfer data across the campus, state, country, or ocean, it is simply more prone to attacks and breaches. Processing data at the edge can reduce security vulnerabilities. 5. Avoid duplication. If all the data is collected and sent to the cloud, there will likely be some equipment duplication in memory, storage, networking equipment, and software. If this duplication is not needed, then the associated increases in capital and operating expenditures are unwarranted. 6. Improve reliability. Even without any nefarious activity from hackers, data can be corrupted on its own. Retries, drops, and missed connections will plague edge-to-data-center communications. Even today, cell phone calls can be broken up or dropped. 7. Maintain compliance. Laws and corporate policies govern the remote transfer of data. For example, certain countries forbid companies from moving the personal data of their citizens outside their borders.
- Will you be using explicit examples of AI on the Edge today? If so, what are you using?
- **Demo: building and publishin iot edge https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-csharp-module **Demo: managing modules for iot edge devices Image url: microsoft/azureiotedge-simulated-temperature-sensor:1.0-preview Create a device on azure portal. Get the connection string for the device Open command prompt in admin mode: iotedgectl setup –connection-string “” –nopass The service will be up on the device. Deploy a module from image: microsoft/azureiotedge-simulated-temperature-sensor:1.0-preview Check the device telemetry from VS Code or run: docker ps & then filter docker logs –f tempSensor
- Source: https://www.windowscentral.com/what-intelligent-cloud-and-how-does-it-affect-mobile
- Source: https://docs.microsoft.com/en-us/azure/iot-edge/how-iot-edge-works
- IoT Edge video: https://www.youtube.com/watch?v=hm0qPwJh-Pw
- Source: https://docs.microsoft.com/en-us/azure/iot-edge/how-iot-edge-works
- Source: IoT Edge quick start: https://docs.microsoft.com/en-us/azure/iot-edge/quickstart-linux
- **Demo: building and publishin iot edge https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-csharp-module **Demo: managing modules for iot edge devices Image url: microsoft/azureiotedge-simulated-temperature-sensor:1.0-preview Create a device on azure portal. Get the connection string for the device Open command prompt in admin mode: iotedgectl setup –connection-string “” –nopass The service will be up on the device. Deploy a module from image: microsoft/azureiotedge-simulated-temperature-sensor:1.0-preview Check the device telemetry from VS Code or run: docker ps & then filter docker logs –f tempSensor