ahellander / HarmonicIO

Framework for distributed task execution

Harmonic IO Streaming Framework

Framework for distributed task execution, key components:

Master Node - maintains queue of tasks, workers, their containers, etc. Worker Node - manages and hosts docker containers. Stream_Connector - client for sending tasks for distributed execution.

This version has support for containers.

Forked from https://github.com/beirbear/HarmonicIO

Quickstart

Setup with master and worker on a single node:

• Install Docker

• Install python3, pip

• Clone and Install:

$ git clone https://github.com/HASTE-project/HarmonicIO.git
$ cd HarmonicIO
$ pip3 install -e .

• Edit harmonicIO/master/configuration.json and harmonicIO/worker/configuration.json so that the addresses are for the local machine (localhost seems problematic).

• Start the master and worker (separate screen windows recommended):

$ sudo ./runMaster.sh
$ sudo ./runWorker.sh

• Start an (example) processing container on the worker (localhost) node (replacing <local-ip>):

We use the example container benblamey/hio-example:latest, which can be built from https://github.com/HASTE-project/HarmonicPE

$ curl -X POST "http://<local-ip>:8081/docker?token=None&command=create" --data '{"c_name" : "benblamey/hio-example:latest", "num" : 1}'

• Check the container is running:

$ sudo docker ps
CONTAINER ID        IMAGE                          COMMAND               CREATED             STATUS              PORTS                  NAMES
5c6146b750ab        benblamey/hio-example:latest   "python example.py"   33 minutes ago      Up 33 minutes       0.0.0.0:9000->80/tcp   happy_jepsen

• Use the Stream Connector to send data:

(Modify the script to use the correct IP address):

$ python3 example_stream_connector.py

• Print the logs of the container to check the output of the executed task (message was bytes ...):

$ docker logs happy_jepsen 
Listening for tasks...
attempting to open local port: 0.0.0.0:80
Streaming from  172.17.0.1 : 40742
message was bytes: 125

• Create your own processing container running the HarmonicPE processing daemon: https://github.com/HASTE-project/HarmonicPE

Install the Streaming Connector only

• Install python3, pip

• Clone and Install:

$ git clone https://github.com/HASTE-project/HarmonicIO.git
$ cd HarmonicIO
$ pip3 install -e .