Containerized Distributed Quotation Services using RMI

Description:

In this project, I implemented the containerization of a multi-module distributed system using RMI (Remote Method Invocation). The system comprises multiple services, including three quotation services, a broker, and a client, all of which were previously developed and tested individually. The final task involved converting these services into Docker images and deploying them using a docker-compose configuration. This project demonstrates my ability to work with RMI-based distributed systems, Maven multi-module projects, and containerization using Docker.

Features

1. Distributed Quotation Services: Three quotation services (Auldfellas, DodgyGeezers, and GirlsAllowed) implemented as RMI-based distributed objects.
2. Broker Service: Acts as the mediator between clients and quotation services.
3. Client Service: Requests quotations from the broker and prints the received results.
4. Containerized Microservices: Each service is containerized using Docker, enabling isolated and independent deployment.
5. Docker Compose: Manages the setup and orchestration of the services, ensuring smooth communication between the client, broker, and quotation services.

Technologies Used

• Java RMI: For creating remote objects and enabling communication between distributed services.
• Maven: To manage the multi-module Java project.
• Docker: For containerizing services to run in isolated environments.
• Docker Compose: For orchestrating multi-container Docker applications.
• JUnit: For unit testing RMI services.

Project Structure

The project is divided into the following services:

• Auldfellas Quotation Service (auldfellas/): Provides quotes for older customers.
• DodgyGeezers Quotation Service (dodgygeezers/): Provides quotes for high-risk customers.
• GirlsAllowed Quotation Service (girlsallowed/): Provides quotes for female customers.
• Broker Service (broker/): Manages communication between the client and quotation services.
• Client Service (client/): Requests quotes from the broker.

Each service is packaged as a separate Docker image.

Installation Instructions

Clone the repository

• git clone https://github.com/your-username/distributed-rmi-quotation-system.git
• cd distributed-rmi-quotation-system

Build and Compose the Docker images:

Make sure Docker is installed on your system.

1. Clean install the project.

2. Build and compose the Docker images for each service

• mvn clean install

• docker compose up --build

This will start the quotation services, the broker, and the client in separate containers.

Stop the system

• To stop the running services, run:
• docker-compose down

Running the Services Individually:

Each service can be run individually by navigating to its directory and running the respective Dockerfile.

Here is an example for running the Auldfellas service:

• cd auldfellas
• docker build -t auldfellas-service .
• docker run auldfellas-service

Repeat the same steps for other services.

Testing:

Unit tests have been written using JUnit to ensure that the quotation services are functioning correctly.

The tests are located in the src/test directory of each service. You can run the tests using Maven:

• mvn test

Future Improvements:

• Add support for more quotation services.
• Implement advanced fault tolerance mechanisms.
• Refactor the client to request services based on configurable parameters.

Contact:

For any queries, feel free to reach out at [email protected]