Job scheduling: Consider the problem of scheduling n jobs of known durations t1, t2, . . ., tn for execution by a single processor. The jobs can be executed in any order, one job at a time. You want to find a schedule that minimizes the total time spent by all the jobs in the system. (The time spent by one job in the system is the sum of the time spent by this job in waiting plus the time spent on its execution.) Design a greedy algorithm for this problem. Does the greedy algorithm always yield an optimal solution?

Job scheduling: Consider the problem of scheduling n jobs of known durations t1, t2, . . ., tn for execution by a single processor. The jobs can be executed in any order, one job at a time. You want to find a schedule that minimizes the total time spent by all the jobs in the system. (The time spent by one job in the system is the sum of the time spent by this job in waiting plus the time spent on its execution.) Design a greedy algorithm for this problem. Does the greedy algorithm always yield an optimal solution?

C++ for Engineers and Scientists

4th Edition

ISBN:9781133187844

Author:Bronson, Gary J.

Publisher:Bronson, Gary J.

Chapter13: Structures

Section: Chapter Questions

Problem 4PP

See similar textbooks

Similar questions

The code of a sequential search function is shown on textbook page 60. In fact, if the list is already sorted, the search can halt when the target is less than a given element in the list. For example, given my_list = [2, 5, 7, 9, 14, 27], if the search target is 6, the search can halt when it reaches 7 because it is impossible for 6 to exist after 7. Define a function linearSearchSorted, which is used to search a sorted list. This function displays the position of the target item if found, or ‘Target not found’ otherwise. It also displays the elements it has visited. To test your function, search for these targets in the list [2, 5, 7, 9, 14, 27]: 2, 6, 14, 27 and 28.
Implement a simulator for a process scheduling system using a heap. Jobs will be read from a file in this system that contains the job id, a six-character string, the length in seconds, and the priority of the job, an integer whose greater value indicates a higher priority. Each work will also receive an arrival number, which is an integer that indicates the order in which it arrived. The output of the simulation should include the job id, priority, duration, and completion time (relative to the simulation's start time of 0).
No plagarism please! Correct and detailed answer will be Upvoted else downvoted. Thank you! Q. Which of the following is CORRECT for the weighted interval scheduling problem? 1. The original problem is one of the subproblems. 2. To ensure that a problem can be solved using dynamic programming, there should be a natural ordering on subproblems from “smallest” to “largest”. In the weighted interval scheduling problem, OPT(j) is a smaller problem than OPT(p(j)) 3. The recursive implementation of the algorithm for computing the optimal value without using memoization has o(n) complexity 4. Weighted interval scheduling problem has exponential computing complexity.
The Java Virtual Machine (and your computer’s assembly language) support a goto instruction so that the search can be “wired in’’ to machine code, like the program at right (which is exactly equivalent to simulating the DFA for the pattern as in KMPdfa, but likely to be much more efficient). To avoid checking whether the end of the text has been reached each time i is incremented, we assume that the pattern itself is stored at the end of the text as a sentinel, as the last M characters of the text. The goto labels in this code correspond precisely to the dfa[] array. Write a static method that takes a pattern as input and produces as output a straight-line program like this that searches for the pattern. Straight-line substring search for A A B A A A int i = -1;sm: i++;s0: if (txt[i]) != 'A' goto sm;s1: if (txt[i]) != 'A' goto s0;s2: if (txt[i]) != 'B' goto s0;s3: if (txt[i]) != 'A' goto s2;s4: if (txt[i]) != 'A' goto s0;s5: if (txt[i]) != 'A' goto s3; return i-8;
Downvote incorrectly done. _A pure full Implement c/c++ to evaluate round robin algorithm. You must use the job list given here: Job (1) arrive at CPU cycle1 Job (2) arrive at CPU cycle2 Job (3) arrive at CPU cycle36 I/O (32) CPU (54) I/O (45) CPU (20) I/O (40) CPU (48) CPU (39) CPU (48) I/O (55) Your job list must contain CPU bust and I/O bust as above. Quantum time = [5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60] The evaluation of the most suitable quantum time needs to consider the followingperformance metrics, but not limited to:(i) Turnaround time of the jobs;(ii) Waiting time of the jobs; and(iii) Number of interrupts incurred The code must able to read csv file format of the job list as input file. The code must able for user to input time quantum.. .
(i) Describe Banker’s algorithm for deadlock avoidance with supporting example Consider a computer system with has four identical units of a resource R. There are three processes each with a maximum claim of two units of resource R. Processes can request these resources in anyway, that is, two in one shot or one by one. The system always satisfies a request a request for a resource if enough resources are available. If the process doesn’t request any other kind of resource, show that the system never deadlock Give a solution for the following synchronization problem using semaphores Producer- Consumer Problem Readers- Writers Problem List out the issues in preprocessor scheduling that causes performance degradation in multiprocessor systems
11.Code so on for_A pure full Implement c/c++ to evaluate round robin algorithm. You must use the job list given here: Job (1) arrive at CPU cycle1 Job (2) arrive at CPU cycle2 Job (3) arrive at CPU cycle36 I/O (32) CPU (54) I/O (45) CPU (20) I/O (40) CPU (48) CPU (39) CPU (48) I/O (55) Your job list must contain CPU bust and I/O bust as above. Quantum time = [5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60] The evaluation of the most suitable quantum time needs to consider the followingperformance metrics, but not limited to:(i) Turnaround time of the jobs;(ii) Waiting time of the jobs; and(iii) Number of interrupts incurred The code must able to read csv file format of the job list as input file. The code must able for user to input time quantum.. ..
In computer science and mathematics, the Josephus Problem (or Josephus permutation) is a theoretical problem. Following is the problem statement: There are n people standing in a circle waiting to be executed. The counting out begins at some point (rear) in the circle and proceeds around the circle in a fixed direction. In each step, a certain number (k) of people are skipped and the next person is executed. The elimination proceeds around the circle (which is becoming smaller and smaller as the executed people are removed), until only the last person remains, who is given freedom. Given the total number of persons n and a number k which indicates that k-1 persons are skipped and kth person is killed in circle. The task is to choose the place in the initial circle so that you are the last one remaining and so survive. For example, if n = 5 and k = 2, then the safe position is 3. Firstly, the person at position 2 is killed, then person at position 4 is killed, then person at position 1…
Programming homework1) Simulated waiting queue in an Indian post office: In an Indian post office that not only distributes mail but also performs some financial activities like a savings bank, a lone postal worker attends to a single lineup of clients. As soon as a consumer enters the line, they are given a token # (serial number). After receiving assistance, the consumer exits the queue while the postal worker receives the token back. The employee could inquire as to how many consumers are still unattended at any one time.i) Put the system into practise using a suitable queue data structure, simulating the arrival and departure of consumers at random when the service is finished.
use the Process object of the multiprocessing module to make Python implement row-partitioning for parallel matrix multiplication. Each of the three processes receives its row and matrix B from the master process and multiplies them to create the row of the output matrix C. The input matrices A and B are tiny 33 matrices. A worker then sends its related row of matrixC to the master. For this algorithm, we must take the following into account: The data of the parent process is entirely present in the process when it is launched using the Process module, but any changes it makes are not reflected in the parent process. In order to have the product matrix C shared between the processes, we need to use the Manager object of the multiprocessing module and define C as an array to be shared from this object. Each worker process performs multiplication and stores the result in its row entry of matrix C.
Code so on for_A pure full Implement c/c++ to evaluate round robin algorithm. You must use the job list given here: Job (1) arrive at CPU cycle1 Job (2) arrive at CPU cycle2 Job (3) arrive at CPU cycle36 I/O (32) CPU (54) I/O (45) CPU (20) I/O (40) CPU (48) CPU (39) CPU (48) I/O (55) Your job list must contain CPU bust and I/O bust as above. Quantum time = [5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60] The evaluation of the most suitable quantum time needs to consider the followingperformance metrics, but not limited to:(i) Turnaround time of the jobs;(ii) Waiting time of the jobs; and(iii) Number of interrupts incurred The code must able to read csv file format of the job list as input file. The code must able for user to input time quantum.. .
PLEASE USE PYTHONGiven a jungle matrix NxM:jungle = [ [1, 0, 0, 0], [1, 1, 0, 1], [0, 1, 0, 0], [1, 1, 1, 1,]]Where 0 means the block is dead end and 1 means the block can be used in the path fromsource to destination.Task:Starting at position (0, 0), the goal is to reach position (N-1, M-1).Your program needs to build and output the solution matrix – a 4x4 matrix with 1’s inpositions used to get from the starting position (0,0) to the ending position (N-1,M-1)with the following constraints:You can only move one space at a timeYou can only in two directions: forward and down.You can only pass thru spaces on the jungle matrix marked ‘1’If you cannot reach the ending position – print a message that you’re trapped in thejungleAlgorithm:If destination is reachedprint the solution matrixElseMark current cell in the solution matrixMove forward horizontally and recursively check if this leads to a solution If there is no solution, move down and recursively check if this leads to a solution If…