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Table of Contents
1.) Prepaid Shop - Mobile Service Provider
Create a simple HTML form where users are able to charge their mobile phones with a given amount of money.
Possible amounts: $10, $30, $50, $100 The 3 mobile service providers: "Provider A", "Provider B", "Provider C" Mobile phone number: 7 numbers.
Create a servlet which gets the HTTP GET request from the HTML form and checks the validity of the messages. If the message is invalid, then returns an “Invalid data” text, else writes “Ok”.
- Create an inner class within servlet and store these payments in a java ArrayList.
- Create an other method to list the number of payments (with a new HTTP get request).
2.) Message queue
Create a third client that reads the statistics from the 'colorStatistics' queue and outputs to the console, for example, '10 'RED' messages have been processed'.
Create tests to validate the original functionality
3.) Temperature Alert System
Create an application that simulates temperature monitoring using message queues. This system involves three separate clients for generating, processing, and reporting temperature data.
Component 1: Temperature Generation Client
- Client 1 connects to the temperatureQueue using a point-to-point connection.
- Function: Sends messages with randomly assigned temperature readings (in degrees Celsius) within a normal range (-10 to 40 degrees Celsius) every 3 seconds.
Component 2: Temperature Monitoring Processor
- Message Processor: Exclusively receives temperature readings from temperatureQueue.
- Function: Monitors for abnormal temperature readings. A reading is considered abnormal if it is below -5 or above 35 degrees Celsius.
- Notification: After receiving 5 abnormal readings, the processor sends a notification to the alertQueue, indicating that 5 abnormal temperature readings have been detected.
Component 3: Alert Reporting Client
- Reads from the alertQueue.
- Output: Prints a message to the console, e.g., “5 abnormal temperature readings have been detected.”
Tests to validate:
- The functionality of sending and receiving messages correctly.
- The correct identification of abnormal temperature readings.
- The accurate accumulation and dispatch of alerts after every 5 abnormal readings.