Given the below table showing each process and its execution time (burst time). Process Arrival Execute Time Time PO 5 P1 1 3 P2 8 P3 Draw the Gantt chart, and calculate the average waiting time for each of the following algorithms: Note: Consider that context switch is zero for all algorithms with the exception of RR. 1. First-Come, First-Served (FCFS) Scheduling N3

Given the below table showing each process and its execution time (burst time). Process Arrival Execute Time Time PO 5 P1 1 3 P2 8 P3 Draw the Gantt chart, and calculate the average waiting time for each of the following algorithms: Note: Consider that context switch is zero for all algorithms with the exception of RR. 1. First-Come, First-Served (FCFS) Scheduling N3

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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The memory management process employs virtual memory to make up for the lack of memory space; this process sometimes results in a page fault. Consider the following sequence of page references 01230140 1 2 3 4 Determine how many page faults will occur for the Least Recently Used and First in First Out algorithms, assuming there are only 3 physical page frames, and both are initially invalid. *Note: Please put your answer in the table. You can use the same table with both algorithm, separate by blank row. Put answer for LRU first (top) followed by FIFO B I *Note: Please put your answer in the table. You can use the same table for both algorithm, separate by blank row. Put answer for LRU first (top) followed by FIFO 1 A▾ E E % S E LRU and FIFO
Write a program that simulates a toy paging system that uses the WSClock algorithm. The system is a toy in that we will assume there are no write references (not very realistic), and process termination and creation are ignored (eternal life). The inputs will be: The reclamation age threshhold The clock interrupt interval expressed as number of memory references A file containing the sequence of page references Describe the basic data structures and algorithms in your implementation. Show that your simulation behaves as expected for a simple (but nontrivial) input example. Plot the number of page faults and working set size per 1000 memory references. Explain what is needed to extend the program to handle a page reference stream that also includes writes.
Implement SRTF (SJF with preemption) scheduling algorithm in C programming. NOTE: Please do not print the average waiting time and the average turnaround time. You are required to compute these for each process and print the values for each process separately. Add comments in the code so that the code is understandable. Take input from the user: the number of processes, their CPU burst times and arrival times for n number of processes. Compute and print the completion Time(CT), Turnaround Time(TAT), and Waiting Time(WT) for each process using C Programming
Solve the following problems using Scala with Classic Akka Actors. For each problem, also implement client actors for sending the messages required for beginning the required computation. Use these client actors for testing your application actors. Recall the card shuffling problem. In a Faro shuffle, a stack of cards is broken up into two, and then combined so that a card from one sub-stack is followed by one from the other, and so on. A perfect Faro shuffle breaks up the stack into two sub-stacks of exactly the same size, and then combines them in the manner described above. An out-shuffle results in the top and the bottom cards of the stack remaining the same after the shuffle; an in-shuffle results in these cards becoming the second and the second last cards of the shuffled stack. Implement a shuffler actor which accepts a message containing a deck of cards as a list of even length, an integer indicating the number of times that the deck is to be shuffled, and a boolean…
An operating system has processes P1, P2, P3, and P4 and resources R1 (one resource), R2 (one resource), R3 (two resources), and R4 (three resources). The notation (1, 1), (2, 2), (1, 2) means that P1 requests R1, then P2 requests R2, then P1 requests R2. Note that the first two requests produce allocation edges on the resource allocation graph, but the third request produces a request edge on the graph because R2 is already allocated to P2. Draw the resource allocation graph after each sequence of requests. State whether the graph contains a cycle. If it does, state whether it is a deadlock cycle. *(a) (1, 1), (2, 2), (1, 2), (2, 1) *(b) (1, 4), (2, 4), (3, 4), (4, 4) (c) (1, 1), (2, 1), (3, 1), (4, 1) (d) (3, 3), (4, 3), (2, 2), (3, 2), (2, 3) (e) (1, 2), (1, 3), (1, 4), (2, 2), (2, 3), (2, 4) (f) (2, 1), (1, 2), (2, 3), (3, 3), (2, 2), (1, 3) (g) (2, 1), (1, 2), (2, 3), (3, 3), (2, 2), (1, 3), (3, 1) (h) (1, 4), (2, 3), (3, 3), (2, 1), (3, 4), (1, 3), (4, 4), (3, 1), (2, 4) (i) (1,…
implement the algorithm to calculate pi using mpi4py similar to The worker process finds the area under the function |01 (4/(1+x2) for its associated part as before. The number of processes is broadcast to all workers which can find their portions and then do the calculations using the function calc_pi. The root process then collects all results from the workers by adding them using the reduce operation and prints the result. Note that we can specify what to do with the collected data in reduce operation.
Suppose we have a group of proposed talks with preset start and end times. Students of CSE340 were asked to design an algorithm to schedule as many of these talks as possible in a lecture hall, under the assumptions that once a talk starts, it continues until it ends, no two talks can proceed at the same time, and a talk can begin at the same time another one ends. Assume that talk j begins at time sj (where s stands for start) and ends at time ej (where e stands for end). One student proposed the algorithm shown in Algorithm 1 on the next page, which simply adds talks in order of earliest start time (smallest sj ). (a) Prove, using a counter example, that the proposed algorithm does not always produce an optimal schedule (i.e., a schedule with most possible talks). (b) Another student proposed adding talks in order of shortest duration (ej - sj ). Prove, using a counter example, that even with this new criteria, the algorithm does not always produce an optimal schedule.
Please help me with my AlgorithmDesign problem. From the following list of bus rapid transit system (one way): Name Route Vacation A->B->C->D Work 1 E->B->F->G->H Work 2 B->N->E Work 3 H->D->N The problem: ➢ Task: Design an algorithm (C/C++/Java/Phyton) to read the bus rapid transit system routes list and print the number of tickets we need to purchase if we want to visit all places minimal twice. The complexity of the algorithm must be O(V+E). V is the number of places. E-> is the number of transits. ➢ PS: Use Tarjan’s or Kosaraju’s strongly connected component algorithm. **In order for A to be visited twice, we must order 2 "Vacation" tickets (multiply by 2)
You are the sysadmin for a big tech company, and you have to estimate the amount of servers you need to handle some long-running jobs. One server can handle only one job at once. One job can only be executed by one server at once. Once a server has finished executing its current job, it can be reassigned to a new job. Given an array of time intervals intervals where intervals[i] = [starti, endi], representing the start and end time for a particular job that needs to be executed, return the minimum number of servers required to run all jobs. Constraints: 1 <= intervals.length <= 104 0 <= starti < endi <= 106 Function definition for Java: public int minMeetingRooms(int[][] intervals) { // Your code here } Function definition for Python: def minMeetingRooms(self, intervals: List[List[int]]) -> int: #Your code here Announced Test Cases: Input: intervals = [[0,30],[5,10],[15,20]] Output: 2Explanation: We need one server for the job that starts at 0. For the job…
Given that you have submitted many requests to a server, each with its own id (or unique identification) and priority (or priority).Requests = [(id1, p1), (id2, p2), ……, (idn, pn)], where p1 > p2 > …. > pn. Provide the best algorithm or pseudocode for dealing with all of the requests.
Find an assembly line scheduling using dynamic programming source codes (Java programming language) from Internet. Modify the codes to handle random generate of input for different number of stations. Add counters to count the primitive operations performed. Draw a graph that shows f(n) and n, where f(n) is the total number of primitive operations performed, n is the number of stations. Discuss the time complexity of the algorithm in term of best case, worst case and average case.
implement the same algorithm to calculate pi using mpi4py similar to. The worker process finds the area under the function1+x2 for its associatedpart as before. The number of processes is broadcast to all workers which can findtheir portions and then do the calculations using the function calc_pi. The root processthen collects all results from the workers by adding them using the reduce operationand prints the result. Note that we can specify what to do with the collected data inreduce operation.