Description 📝

Bookaro is a distributed hotel booking system developed in Java, leveraging the MapReduce framework for efficient data processing. The system comprises a mobile frontend application for managing accommodations and a robust backend system for data analysis, processing, and storage. Bookaro supports functionalities for both managers and renters, providing a comprehensive solution for room rentals.

Features 🔍

Manager Functionality

• Add Accommodations: Managers can add new accommodations.
• Set Available Dates: Define available rental dates for accommodations.
• View Bookings: Display bookings for owned accommodations.
• View Aggregated Bookings: Managers can view bookings filtered by area for a specified date range.
• Console Application: Manage accommodations via a console interface.

Renter Functionality

• Filter Accommodations: Search based on area, dates, number of persons, price, and rating.
• Book Accommodations: Renters can book accommodations that meet their criteria.
• View Bookings: Renters can view their bookings.
• Rate Rooms: Provide star ratings (1-5) for rented rooms.
• Android UI: All functionalities accessible through an Android application.

Compile and Run

Backend Setup

1. Configuration:
   Update the hosts in the properties files located in the /data folder of each main component (Master, Worker, Reducer, Manager) directory. Ensure that the hostnames or IP addresses are correctly set for your network setup.

2. Compile the Java files:

   javac .\backend\src\main\java\org\backend\master\Master.java
   javac .\backend\src\main\java\org\backend\worker\Worker.java
   javac .\backend\src\main\java\org\backend\mapreduce\Reducer.java
   javac .\backend\src\main\java\org\backend\manager\ManagerConsoleApp.java

3. Run the Java files:
   Always in the correct workspace:

   Start the Master node:

   java Master

   Start the Worker nodes (in separate terminals), assigning each a unique ID (e.g., 1, 2, 3):

   java Worker 1
   java Worker 2
   java Worker 3

   Start the Reducer node:

   java Reducer

   Start the Manager node:

   java ManagerConsoleApp

4. Using the Manager:
   Follow the menu options provided by the Manager to start adding accommodations, managing bookings, and performing other tasks.

Frontend Setup

• Open the Android project in Android Studio.
• Locate BackendConnector.java and update the host of the Master node.
• Build and run the application on an Android device or emulator.

Implementation Details 📘

Room JSON Structure

This example JSON provides a basic representation of a hotel room object, outlining its attributes such as roomId, roomName, noOfPersons, area, stars, noOfReviews, price, roomImage, and availableDates.

{
    "roomId": "1",
    "roomName": "Deluxe Suite",
    "noOfPersons": 4,
    "area": "Athens",
    "stars": 5,
    "noOfReviews": 12,
    "price": "800",
    "roomImage": "src/main/java/org/backend/images/rooms/deluxe_suite.png",
    "availableDates": [
        {
            "startDate": "2024-05-28",
            "endDate": "2024-06-17"
        }
    ]
}

MapReduce Framework

• Map Function: Processes input key/value pairs to produce intermediate key/value pairs.
• Reduce Function: Merges intermediate values to produce final results.

Backend

• Master Node: Functions as the central coordinator, handling job distribution, aggregation, and communication.
• Worker Nodes: Execute mapping tasks in parallel, processing data according to job assignments.
• Multithreading: Utilizes multithreading for efficient task execution and resource utilization on both Master and Worker nodes.
• TCP Communication: Implements TCP sockets for reliable and efficient communication between Master and Workers.

Frontend

• Android Application: Connects to the Master via TCP sockets for all operations.
• Asynchronous Operations: Use of threads to keep the UI responsive during data processing.
• Accommodation Search: Start by searching for available accommodations based on your preferences such as location, dates, number of persons, price range, and rating.
• Booking and Review: Once you find a suitable room, proceed to book it. After booking, you'll have the opportunity to leave a review based on your experience.

Contributors

• Pantelidis Ippokratis [Ippo03]
• Mitsakis Nikolaos [NIKOMAHOS]
• Augerakis Vasilis [Augeraki]

You can find a demo video here :

<iframe src="https://player.vimeo.com/video/971109087?title=0&byline=0&portrait=0&badge=0&autopause=0&player_id=0&app_id=58479" frameborder="0" allow="autoplay; fullscreen; picture-in-picture; clipboard-write" style="position:absolute;top:0;left:0;width:100%;height:100%;" title="distributed-hotel-booking-demo"></iframe>

<script src="https://player.vimeo.com/api/player.js"></script>