/** * @file * @brief Implementation of FCFS CPU scheduling algorithm * @details * FCFS is a non-preemptive CPU scheduling algorithm in which whichever process * arrives first, gets executed first. If two or more processes arrive * simultaneously, the process with smaller process ID gets executed first. * @link https://bit.ly/3ABNXOC * @author [Pratyush Vatsa](https://github.com/Pratyush219) */ #include /// for sorting #include /// for assert #include /// random number generation #include /// for time #include /// for formatting the output #include /// for IO operations #include /// for std::priority_queue #include /// for std::unordered_set #include /// for std::vector using std::cin; using std::cout; using std::endl; using std::get; using std::left; using std::make_tuple; using std::priority_queue; using std::rand; using std::srand; using std::tuple; using std::unordered_set; using std::vector; /** * @brief Comparator function for sorting a vector * @tparam S Data type of Process ID * @tparam T Data type of Arrival time * @tparam E Data type of Burst time * @param t1 First tuple * @param t2 Second tuple * @returns true if t1 and t2 are in the CORRECT order * @returns false if t1 and t2 are in the INCORRECT order */ template bool sortcol(tuple& t1, tuple& t2) { if (get<1>(t1) < get<1>(t2)) { return true; } else if (get<1>(t1) == get<1>(t2) && get<0>(t1) < get<0>(t2)) { return true; } return false; } /** * @class Compare * @brief Comparator class for priority queue * @tparam S Data type of Process ID * @tparam T Data type of Arrival time * @tparam E Data type of Burst time */ template class Compare { public: /** * @param t1 First tuple * @param t2 Second tuple * @brief A comparator function that checks whether to swap the two tuples * or not. * @link Refer to * https://www.geeksforgeeks.org/comparator-class-in-c-with-examples/ for * detailed description of comparator * @returns true if the tuples SHOULD be swapped * @returns false if the tuples SHOULDN'T be swapped */ bool operator()(tuple& t1, tuple& t2) { // Compare arrival times if (get<1>(t2) < get<1>(t1)) { return true; } // If arrival times are same, then compare Process IDs else if (get<1>(t2) == get<1>(t1)) { return get<0>(t2) < get<0>(t1); } return false; } }; /** * @class FCFS * @brief Class which implements the FCFS scheduling algorithm * @tparam S Data type of Process ID * @tparam T Data type of Arrival time * @tparam E Data type of Burst time */ template class FCFS { /** * Priority queue of schedules(stored as tuples) of processes. * In each tuple * 1st element: Process ID * 2nd element: Arrival Time * 3rd element: Burst time * 4th element: Completion time * 5th element: Turnaround time * 6th element: Waiting time */ priority_queue, vector>, Compare> schedule; // Stores final status of all the processes after completing the execution. vector> result; // Stores process IDs. Used for confirming absence of a process while adding // it. unordered_set idList; public: /** * @brief Adds the process to the ready queue if it isn't already there * @param id Process ID * @param arrival Arrival time of the process * @param burst Burst time of the process * @returns void * */ void addProcess(S id, T arrival, E burst) { // Add if a process with process ID as id is not found in idList. if (idList.find(id) == idList.end()) { tuple t = make_tuple(id, arrival, burst, 0, 0, 0); schedule.push(t); idList.insert(id); } } /** * @brief Algorithm for scheduling CPU processes according to the First Come * First Serve(FCFS) scheduling algorithm. * * @details FCFS is a non-preemptive algorithm in which the process which * arrives first gets executed first. If two or more processes arrive * together then the process with smaller process ID runs first (each * process has a unique proces ID). * * I used a min priority queue of tuples to accomplish this task. The * processes are ordered by their arrival times. If arrival times of some * processes are equal, then they are ordered by their process ID. * * @returns void */ vector> scheduleForFcfs() { // Variable to keep track of time elapsed so far double timeElapsed = 0; while (!schedule.empty()) { tuple cur = schedule.top(); // If the current process arrived at time t2, the last process // completed its execution at time t1, and t2 > t1. if (get<1>(cur) > timeElapsed) { timeElapsed += get<1>(cur) - timeElapsed; } // Add Burst time to time elapsed timeElapsed += get<2>(cur); // Completion time of the current process will be same as time // elapsed so far get<3>(cur) = timeElapsed; // Turnaround time = Completion time - Arrival time get<4>(cur) = get<3>(cur) - get<1>(cur); // Waiting time = Turnaround time - Burst time get<5>(cur) = get<4>(cur) - get<2>(cur); result.push_back(cur); schedule.pop(); } return result; } /** * @brief Utility function for printing the status of each process after * execution * @returns void */ void printResult() { cout << "Status of all the proceses post completion is as follows:" << endl; cout << std::setw(17) << left << "Process ID" << std::setw(17) << left << "Arrival Time" << std::setw(17) << left << "Burst Time" << std::setw(17) << left << "Completion Time" << std::setw(17) << left << "Turnaround Time" << std::setw(17) << left << "Waiting Time" << endl; for (size_t i{}; i < result.size(); i++) { cout << std::setprecision(2) << std::fixed << std::setw(17) << left << get<0>(result[i]) << std::setw(17) << left << get<1>(result[i]) << std::setw(17) << left << get<2>(result[i]) << std::setw(17) << left << get<3>(result[i]) << std::setw(17) << left << get<4>(result[i]) << std::setw(17) << left << get<5>(result[i]) << endl; } } }; /** * @brief Function to be used for testing purposes. This function guarantees the * correct solution for FCFS scheduling algorithm. * @param input the input data * @details Sorts the input vector according to arrival time. Processes whose * arrival times are same get sorted according to process ID For each process, * completion time, turnaround time and completion time are calculated, inserted * in a tuple, which is added to the vector result. * @returns A vector of tuples consisting of process ID, arrival time, burst * time, completion time, turnaround time and waiting time for each process. */ template vector> get_final_status( vector> input) { sort(input.begin(), input.end(), sortcol); vector> result(input.size()); double timeElapsed = 0; for (size_t i{}; i < input.size(); i++) { T arrival = get<1>(input[i]); E burst = get<2>(input[i]); if (arrival > timeElapsed) { timeElapsed += arrival - timeElapsed; } timeElapsed += burst; double completion = timeElapsed; double turnaround = completion - arrival; double waiting = turnaround - burst; get<0>(result[i]) = get<0>(input[i]); get<1>(result[i]) = arrival; get<2>(result[i]) = burst; get<3>(result[i]) = completion; get<4>(result[i]) = turnaround; get<5>(result[i]) = waiting; } return result; } /** * @brief Self-test implementations * @returns void */ static void test() { for (int i{}; i < 1000; i++) { srand(time(nullptr)); uint32_t n = 1 + rand() % 1000; FCFS readyQueue; vector> input(n); for (uint32_t i{}; i < n; i++) { get<0>(input[i]) = i; srand(time(nullptr)); get<1>(input[i]) = 1 + rand() % 10000; srand(time(nullptr)); get<2>(input[i]) = 1 + rand() % 10000; } for (uint32_t i{}; i < n; i++) { readyQueue.addProcess(get<0>(input[i]), get<1>(input[i]), get<2>(input[i])); } vector> res = get_final_status(input); assert(res == readyQueue.scheduleForFcfs()); // readyQueue.printResult(); } cout << "All the tests have successfully passed!" << endl; } /** * @brief Entry point of the program * @returns 0 on exit */ int main() { test(); // run self-test implementations return 0; }