Data API in μC/OS - 11/10/2016 20:54 EDT

Design and implement a datacentric programming interface, where users don't need to know how to create and execute tasks on RTOS (a layer of abstraction). Users only provide metadata (information) of their data, such as data source, data type (and range), data format, data arrival rate (or device sampling rate) ... and some functions, such as data pre-processing, post-processing and data analysis and operations. Your interface/lib will create periodic tasks to process user data.  Define data structures for the meta-data and callbacks, and implement functions to connect/disconnect input/output data streams (which creates and manages the execution of tasks to process user data). By using your data-centric programming interface solve the below tasks:  Task 1 (highest priority) simulates processing of geo-location data. It generates random (x,y) coordinates and uses the Euclidean distance and period to calculate velocity as the output.  Task 2 (medium priority) simulates data processing for a thermometer sensor. It generates random temperature readings and calculates the average, maximum and minimum temperatures as outputs.  Task 3 (lowest priority) simulates a traffic monitoring system. Each time a random value representing vehicle count is generated. Task 3 calculates the accumulated vehicle number (output) and clears the number for every 20 readings. a.) Create the three periodic tasks. They generate random sensor readings in memory. Simulate their execution and measure the average response time of each task. Also record the arrival times of jobs of the three tasks and check if there is any pattern.