Search Results for "linux for arm"
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Showing 5 open source projects for "linux for arm"
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Arm Mbed OS
Platform operating system designed for the Internet of Things
Arm Mbed OS is an open source embedded operating system specifically designed for the Internet of Things. It’s packed with all the features you need to develop your next IoT product based on an Arm Cortex-M microcontroller efficiently, securely and rapidly. These include security foundations, cloud management services, and drivers for sensors and I/O devices. -
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json-scada
A portable SCADA/IoT platform centered on the MongoDB database server.
Standard IT tools applied to SCADA/IoT (MongoDB, PostgreSQL/TimescaleDB,Node.js, C#, Golang, Grafana, etc.). MongoDB as the real-time core database, persistence layer, config store, SOE historian. Portability and interoperability over Linux, Windows, x86/64, ARM. Horizontal scalability, from a single computer to big clusters (MongoDB-sharding), Bare Metal, Docker containers, VM, cloud, or hybrid deployments. Unlimited tags, servers, and users. HTML5 Web interface. UTF-8/I18N. Protocols... -
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Mongoose OS
IoT firmware development framework
Mongoose OS, an IoT Firmware Development Framework. Supported microcontrollers, ESP32, ESP8266, CC3220, CC3200, STM32F4, STM32L4, STM32F7. Amazon AWS IoT, Microsoft Azure, Google IoT Core integrated. Code in C or JavaScript. Mongoose OS is integrated and powers many types of devices and appliances globally. Microsoft Azure IoT recommends Mongoose OS for OTA, automatic device management and deploying firmware updates at scale. Built-in flash encryption, crypto chip support, ARM mbedTLS optimized... -
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smartIDS
Lightweight intrusion detection for IoT and embedded devices.
The aim of the project is a lightweight intrusion detection library for embedded devices which supports MSP430 and ARM Cortex based devices. Features include DSP/SIMD support, IoT and embedded protocols, distributed operation, event and history management, tool supported configuration and visualization. There is a Java port that supports less features. -
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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This project is a low cost & lowpower Datalogger based on BeagleBone Black. The data logger is an electronic device that records earthquakes(Sensor network), Wind ,daylight ,power used/produced on the street lamp over time. Data will then be uploaded via a wireless radio MESH network(868 Mhz) to a database server for later analyze. The Prototype is developed on two microcontrollers(AVR and ARM Cortex-A8) with the low power and
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