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CKN Stream Processor for TAPIS Camera Traps Application

License

The CKN Stream Processor aggregates events in real-time from the TAPIS Camera Traps application using Apache Kafka.

Getting Started

Quickstart

  1. Set the Message Broker environment variable

    If a message broker is unavailable, follow the instructions in CKN repository to start the services.

    export CKN_BROKERS="<CKN_BROKER_ADDRESS>"

  2. Compile the JAR File Ensure the JAR files are in the ./target directory. If not, compile them by running:

    mvn clean package

  3. Build and Run the Docker Container

    docker build -f Dockerfile.RawAlert -t ckn-processor-oracle-alert .
docker run --name ckn-alerter ckn-processor-oracle-alert

Building from Source

Prerequisites

  • Maven 3: For building and managing dependencies.
  • JDK: Ensure the Java Development Kit is installed.

Compile the JAR File

  1. From the project root, compile the code by running:

    mvn clean package

  2. Navigate to the /target directory to find the generated JAR files.

Running the Processors

After building, you can execute the processors directly:

  • OracleAggregationProcessor:

    java -cp ckn-stream-processors-0.1-SNAPSHOT.jar edu.d2i.ckn.OracleAggregationProcessor

  • OracleAccAlertProcessor:

    java -cp ckn-stream-processors-0.1-SNAPSHOT.jar edu.d2i.ckn.OracleAccAlertProcessor

Testing

For instructions, refer plugins/oracle_ckn_daemon/tests/README.md on the CKN repository.

License

The Cyberinfrastructure Knowledge Network (CKN) is developed by the Indiana University Board of Trustees and distributed under the BSD 3-Clause License. See LICENSE.txt for more details.

Acknowledgements

This research is funded in part through the National Science Foundation under award #2112606, AI Institute for Intelligent CyberInfrastructure with Computational Learning in the Environment (ICICLE), and in part through Data to Insight Center (D2I) at Indiana University.

Reference

S. Withana and B. Plale, "CKN: An Edge AI Distributed Framework," 2023 IEEE 19th International Conference on e-Science (e-Science), Limassol, Cyprus, 2023, pp. 1-10, doi: 10.1109/e-Science58273.2023.10254827.