”Building a concurrent and distributed System for batch processing which is fault tolerant and can scale up or scale out using Akka.NET (based on actor model)”.

A generic batch processor is used for dividing parallel work to multiple actors/processes on the same machine, remote machine as well as in distributed network.

Job Manger is managing all the tasks and their status. This can be UI or console based application.

Job Pool Controller Actor has following responsibilities

1. Assign the task to commander actor
2. Get the response from commander actor
3. update the job status
4. print the job statastics

Job Scheduler is responsible for scheduling the job after each interval (10 sec ). It is also responsible for checking the job status after some interval.

Executer is the backbone the batchprocessor actor system. It is responsible for taking the job from job manager (Job pool controller actor) and perfor that job and after completion, update job manager.

Commander actor has following responsibilities-

1. Create the broadcast router for creating coordinator instances.
2. Get the task from Job pool controller and assign it to any available coordinator.
3. Get the response from coordinator and update to job pool controller about the task.

Coordinator actor plays mediator role between commander and worker actor.Coordinator actor has following responsibilities-

1. Create the worker actor for performing task.
2. Supervise worker actor. If worker actor failed to perform any task then it will take necessary action.
3. Update the commander once the task is completed by worker.

Worker actor is the last actor in the hierarchy which actully perform the task. It has following responsibilities-

1. Get the task from coordinator and perform the task.
2. Update the task status to coordinator

Fault Tolerant Concurrent application for Batch Processing - Demonstrates how to execute multiple tasks concurrently as well as paralley in Akka.NET.

Fault Tolerant Remote application for Batch Processing - Demonstrates how remotely perform multple tasks concurrently as well as parallely in Akka.NET.

Fault Tolerant Distributed application for Batch Processing - Demonstrates how multiple tasks performed on distributed systems in Akka.NET.

Fault Tolerant Reactive application for Batch Processing - Demonstrates how multiple tasks performed on Reactive systems for distributed application in Akka.NET.

This Batch Processor approach can be used for –

1. File conversion
2. Running Automated test cases
3. Stream Analytics (IOT sensor data)
4. Database Backup/replication

Please feel free to contribute.

Please Create a Github issue for any questions you might have.

MIT

Detailed documentaion about Akka.NET is available at Akka.NET docs.

• You should have some programming experience and familiarity with C#, WPF, Akka.NET and Actor Model
• Visual Studio 2013 or later

Vijaykumar Thombre [ Vijaykumar.Thombre@hcl.com ]