Parallel Computing And Distributed Systems Assignment 2 10 P
Parallel Computing And Distributed Systemsassignment 2 10 Pointscare
Carefully read the shared client.java and server.java files along with the comments placed per command. Run the server project first, then run the client project. These projects create a chat between the client and the server. Through the terminal window of the client, you can start writing some statements, and on clicking enter, you should find these statements on the terminal of the server side along with responses back from the server displayed on the client side. This chat will keep on until the client sends “exit” as a command and clicks enter; this will terminate the connection established as well as the read and write streams on the two sides.
In this assignment, you will extend these shared files to implement an interactive two-tier communication application using network sockets. Typically, client and server applications run on separate devices, but for simplicity, both can run on the same computer. If on the same device, the server IP will be “localhost” or “127.0.0.1”. For different devices over the same network, determine the server's IP address. For different networks, including VPN considerations, establish the appropriate network configuration.
The client hosts the user interface where commands are sent to the server. The server handles processing and data layers, maintaining a dynamic list (ArrayList) of integers named inputValues. The client enters commands through the terminal and waits for server responses, with command formats as described below. The commands are sent as JSON objects, with unique instruction IDs as keys and instructions as values. The server responds similarly with JSON objects, mapping instruction IDs to results.
Supported commands include Add, Remove, Get_Summation, Sort_A, and Exit. For example, to add 80, the client sends {“Instruction 1”: “Add: 80”}, and the server responds with {“Instruction 1”: “added successfully”}. To display sorted values, the client sends {“Instruction 2”: “Sort_A”}, and the server responds accordingly. Unsupported commands receive a response “unsupported command”. The Exit command terminates the communication.
In Task 2, enhance the design to support batch processing, where commands are sent as an array of JSON objects, and responses are received as an array of JSON objects. For example, multiple commands like “Add: 80” and “Sort_A” can be combined in one message, and the server executes them sequentially, returning a JSON array of responses.
The implementation should leverage a JSON library appropriate for Java to parse and generate JSON objects for communication. Optional resources include VPN setup tools like Hamachi for cross-network communication. For submission, develop the Java programs, capture screenshots demonstrating commands and responses, compile them into a PDF document, and submit this PDF via the specified platform by the deadline. Late submissions are accepted within 24 hours at half credit; after this, submissions are not accepted.
Paper For Above instruction
In the realm of networked applications, client-server architecture plays a crucial role in enabling distributed communication and data sharing. The assignment at hand emphasizes extending a basic socket-based chat program into a more structured, JSON-based command-response system that supports both single and batch command processing. The primary objective is to develop a scalable, efficient, communication protocol between client and server using Java sockets and JSON formatting, which is essential for modern distributed systems.
The core challenge involves designing a system where the client sends commands to the server encapsulated in JSON objects, and the server processes these commands, maintaining a list of integers and returning appropriate responses also formatted in JSON. This structured approach enhances flexibility, allows batching multiple commands, and simplifies parsing and error handling. The commands include adding/removing integers, calculating their sum, sorting the list, and gracefully terminating the interaction.
The initial phase involves implementing basic socket communication where the client and server exchange simple JSON messages. This stage lays the foundation of reliable data transmission, requiring understanding of Java's socket APIs, input/output streams, and JSON manipulation libraries such as Jackson or Gson. The server maintains an ArrayList
Handling the “Get_Summation” command requires the server to iterate through the list, summing elements, and responding with the computed total—an example of fundamental data processing. The “Sort_A” command sorts the list, with the server returning the sorted list in the response. Proper error handling ensures unsupported commands result in an “unsupported command” message, maintaining robustness.
The second phase enhances the system to handle batched commands and responses, employing JSON arrays. This design considerably improves efficiency, especially for clients executing multiple commands sequentially, reducing network overhead. The client constructs an array of instruction objects, and the server processes each instruction in sequence, responding with an array of responses. This approach requires careful parsing, error management, and synchronization.
Implementing this architecture demands careful attention to concurrency and thread safety, especially if scaling beyond simple examples. Java’s threading model and synchronized access to shared data structures ensure data integrity. The JSON protocol must be rigorously adhered to, with clear instructions for instruction IDs and comprehensive error handling for malformed messages.
In practical applications, such a structured approach aligns with RESTful API design principles, where clear request and response schemas facilitate interoperability and maintainability. The JSON-based communication protocol is essential given its language neutrality and widespread adoption in web services, enabling future expansion to include additional command types or integrations.
Beyond the core system, optional VPN setup such as Hamachi is briefly discussed as a means to extend connectivity across disparate networks, ensuring secure and seamless communication for distributed deployments. This aspect highlights the importance of network configuration knowledge for real-world distributed application deployment.
In conclusion, the project demonstrates key skills in socket programming, JSON data handling, and designing efficient communication protocols for distributed systems. It emphasizes the importance of robust error handling, scalability through batched commands, and adherence to best practices in network security and configuration. Such systems underpin many modern applications, including cloud services, IoT networks, and remote monitoring solutions, thus providing foundational knowledge essential for advanced computer science and software engineering careers.
References
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