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  1. IoT Data Processing agent Deployment

    Configuration Note For more configuration settings please see: IoT agents configuration Docker Run Agent with existing broker Dependencies Docker MQTT Broker docker run e connectionbrokermqtthostname=mymqtthostname p 8319:8319 Run Agent without existing broker Dependencies Docker
    LinkSmart® IoT AgentsOct 26, 2017
  2. IoT Data-Processing Agent API (under revision)

    ! MQTT API The agent it always listening a topic for new statement (see ) in an incoming "control" broker, by default the is "statement/add" and "tcp://localhost:1883", respectively (see ). If a statement is publish to this topic (using the right payload, see ), the agent will process the statement. The result
    LinkSmart® IoT AgentsOct 26, 2017
  3. IoT Data-Processing Agent Results (under revision) Scenario Burst Test 1: The test is design to show the horizontal data processing capability … 61440 KB RAM: 2.0 GB The data producer and consumer have the same hardware characteristic to test the performance in symmetric conditions. In this manner
    LinkSmart® IoT AgentsOct 26, 2017
  4. IoT Learning Agent

    The IoT Learning Agent it's built out of the IoT DataProcessing Agent. For all means, a Learning Agent is a DataProcessing Agent; the opposite is not. The Learning Agent provides an implementation of the ComplexEvent Machine Learning (CEML) framework. The CEML framework is a set of APIs, phases, processes
    LinkSmart® IoT AgentsMay 28, 2018
  5. IoT Data-Processing agent Statement (under revision)

    The DP Statement payload This type of events encapsulate a DP statement used to deploy the query statement on agent. It contains 10 properties of which only 2 … on the API is being used. The ID is unique identifier in an agent. If the the ID is not provided, then is generated by hashing (SHA256) the Statement value, this means
    LinkSmart® IoT AgentsOct 26, 2017
  6. IoT Agents

    Description The IoT agents where developed for all kind of storeless data processing, from simple data annotation or aggregation to complex data machine … for intelligent ondemand data management or analysis in IoT environments, from edge computing to cloud computing. The Agents can be used as edge standalone service
    LinkSmart® IoT AgentsJun 28, 2018
  7. IoT Agent Architecture

    asynchronous messages to which the IoT Learning Agent (LA) or LAs are subscribed. On the other hand, the Models subscribe to the data, provided by the clients … the system to distribute the data processing into external or internal processing nodes, depending on the needs. E.g. having the processes p1 and p2, where p1 = c (bc
    LinkSmart® IoT AgentsMay 28, 2018
  8. Model and Learning Process Concepts

    Learning processes (build, learning, destroy) in the agent Model SDK The IoT Learning agent provides a set of Interfaces, Classes, and technologies to integrate … The IoT Learning agent is a service that orchestrates the learning and uses Learning Models. The agent is built to load any iterative or microbatching model
    LinkSmart® IoT AgentsJun 29, 2018
  9. LinkSmart® IoT Learning Agent

  10. LinkSmart IoT Hackathon 2018 - Part 3 Set up LinkSmart® IoT Agents Work with the room ambience data by feeding statements to an IoT data processing agent using EsperTech´s Event Processing Language (EPL) We
    HomeSep 05, 2018