Parallel Computing And Distributed Systems Assignment 3 15 P

Parallel Computing And Distributed Systems Assignment 3 15 Pointsm

In this assignment, you will develop a distributed application using Java and the MQTT protocol, involving multiple MQTT clients and a public MQTT broker. The system consists of three clients: two automated clients (A and B) that perform operations based on received tasks, and a user-operated client that sends commands and displays results. You are required to implement functionality for adding/removing integers from client lists, calculating summations, and reviewing historical commands, with communication facilitated through MQTT topics.

Set up a Java project using Maven and include the MQTT client library org.eclipse.paho. Design each client to subscribe and publish to specific topics as per their roles, utilizing dynamic arrays and hash maps for internal data management. Your clients should process commands such as Add: x, Remove: x, Get_Summation, and Review_Old_Commands, responding with appropriate messages. Ensure the user client allows terminal input for commands and client targeting, displaying responses accordingly. The project must be completed and submitted with Java source files and a PDF of terminal screenshots showing interactions.

Paper For Above instruction

The development of distributed systems leveraging the MQTT protocol exemplifies modern approaches to real-time data communication and processing. This assignment emphasizes the use of Java programming, MQTT messaging, and client-server interaction to simulate a dynamic, command-driven environment involving multiple clients and human interaction. By meticulously designing client behaviors, topic subscriptions, and message handling routines, this system demonstrates core principles such as concurrency, message-driven architecture, and distributed resource management.

The core of the system involves three clients, each with a specific role, operating over a public MQTT broker. Clients A and B are automated, maintaining internal data structures—a dynamic array (ArrayList) and a hash map—to facilitate command processing. Their responsibilities include subscribing to specific task topics, executing tasks such as adding or removing integers, calculating sum totals, and reviewing command histories, then publishing results to designated topics. Such implementations encourage learning about data handling, thread safety, and responsive system design in distributed environments.

Client C is user-operated, serving as an interface for command inputs via the terminal. This client subscribes broadly to receive all results, then allows the user to input commands targeting either or both of the automated clients. Commands are then formatted and published to specific topics, ensuring proper routing. Additionally, this client displays responses, allowing users to verify the behavior of the system as commands are processed. It effectively demonstrates user interaction design integrated with MQTT message handling.

Implementation details include setting up Maven dependencies for MQTT libraries, creating MQTT client instances with unique identifiers, and managing topic subscriptions and message callbacks. Careful synchronization ensures thread-safe operations when clients manipulate shared data structures. Commands are validated and appropriately responded to, with meaningful messages sent over MQTT topics. The application architecture exemplifies a simple yet robust model of distributed command processing and feedback loops.

Testing involves running clients A and B first to establish readiness, then launching the user client for interaction. The entire process is documented via screenshots, capturing command inputs and system responses, highlighting the real-time communications within the system. This practical exercise enhances understanding of MQTT, distributed data management, and client-server interactions, relevant to graduate-level studies in distributed computing.

In conclusion, this project encapsulates essential concepts of parallel and distributed systems using MQTT and Java. It fosters skills in network communication, concurrency, client design, and data management, providing a comprehensive practical experience aligned with current trends in distributed application development.

References

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