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The IoT agents where developed for all kind of store-less data processing, from simple data annotation or aggregation to complex data machine learning techniques. The agents fulfill the task of a LinkSmart® Processor and a bit of a Message Handler (see LinkSmart® Specification), and they are ideal for intelligent onDemand data management or analysis in IoT environments, from edge computing to cloud computing. The Agents can be used as edge stand alone service or as computational node in the cloud.
The IoT agents are services that offer Complex-Event Processing as service and Real-time Machine Learning as a service. The agent provide three APIs, the Stream Mining API (Statement API), the Learning API (CEML API) and the IO API. The Statement and CEML APIs are CRUD (Create, Read, Update, Delete) and JSON based, while the IO are write-only (for Input) or read-only (for Output). The APIs are implemented as HTTPs RESTful and MQTT.
- Getting Started
- IoT Agent Architecture
- IoT Agent Scenarios
- IoT agents configuration
- IoT Agents Use Cases
- IoT Data-Processing Agent API
- IoT Data Processing agent Deployment
- IoT Data-Processing Agent Results
- IoT Data-Processing agent Statement
- Open API Docs
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