Chapter 4 CPU Scheduling. 2 Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor Scheduling Real-Time Scheduling Algorithm Evaluation.

Slides:



Advertisements
Similar presentations
CPU Scheduling.
Advertisements

Chapter 5: CPU Scheduling
 Basic Concepts  Scheduling Criteria  Scheduling Algorithms.
Silberschatz, Galvin and Gagne ©2009 Operating System Concepts – 8 th Edition Chapter 5: CPU Scheduling.
Operating Systems Chapter 6
Chap 5 Process Scheduling. Basic Concepts Maximum CPU utilization obtained with multiprogramming CPU–I/O Burst Cycle – Process execution consists of a.
Chapter 5 CPU Scheduling. CPU Scheduling Topics: Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor Scheduling Real-Time Scheduling.
Operating Systems CPU Scheduling. Agenda for Today What is Scheduler and its types Short-term scheduler Dispatcher Reasons for invoking scheduler Optimization.
CPU Scheduling CS 3100 CPU Scheduling1. Objectives To introduce CPU scheduling, which is the basis for multiprogrammed operating systems To describe various.
CPU Scheduling Algorithms
Chapter 3: CPU Scheduling
Silberschatz, Galvin and Gagne ©2009 Operating System Concepts – 8 th Edition, Chapter 5: CPU Scheduling.
CS 311 – Lecture 23 Outline Kernel – Process subsystem Process scheduling Scheduling algorithms User mode and kernel mode Lecture 231CS Operating.
02/06/2008CSCI 315 Operating Systems Design1 CPU Scheduling Algorithms Notice: The slides for this lecture have been largely based on those accompanying.
Scheduling in Batch Systems
Chapter 6: CPU Scheduling. 5.2 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts – 7 th Edition, Feb 2, 2005 Chapter 6: CPU Scheduling Basic.
Silberschatz, Galvin and Gagne  Operating System Concepts Chapter 6: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms.
What we will cover…  CPU Scheduling  Basic Concepts  Scheduling Criteria  Scheduling Algorithms  Evaluations 1-1 Lecture 4.
Chapter 5-CPU Scheduling
02/11/2004CSCI 315 Operating Systems Design1 CPU Scheduling Algorithms Notice: The slides for this lecture have been largely based on those accompanying.
Silberschatz, Galvin and Gagne  Operating System Concepts Chapter 6: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms.
Chapter 5: CPU Scheduling. 5.2 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts – 7 th Edition, Feb 2, 2005 Basic Concepts Maximum CPU utilization.
Chapter 6: CPU Scheduling
Silberschatz, Galvin and Gagne  Operating System Concepts Chapter 6: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms.
Silberschatz, Galvin, and Gagne  Applied Operating System Concepts Module 6: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms.
CS212: OPERATING SYSTEM Lecture 3: Process Scheduling 1.
1 张惠娟 副教授 实用操作系统概念. 2 内容框架 概述 体系结构 进程管理 内存管理 文件管理 外设管理.
Silberschatz, Galvin and Gagne  Operating System Concepts Chapter 6: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms.
Scheduling. Alternating Sequence of CPU And I/O Bursts.
Silberschatz and Galvin  Operating System Concepts Module 5: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor.
Alternating Sequence of CPU And I/O Bursts. Histogram of CPU-burst Times.
CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms Thread Scheduling Multiple-Processor Scheduling Operating Systems Examples Algorithm.
Silberschatz, Galvin and Gagne ©2009 Operating System Concepts – 8 th Edition, Chapter 5: CPU Scheduling.
Silberschatz, Galvin and Gagne  Operating System Concepts Chapter 6: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms.
Chapter 5: CPU Scheduling. 5.2 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Chapter 5: CPU Scheduling Basic Concepts Scheduling Criteria.
CMSC 421 Spring 2004 Section 0202 Part II: Process Management Chapter 6 CPU Scheduling.
Chapter 5: Process Scheduling. 5.2 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Basic Concepts Maximum CPU utilization can be obtained.
Chapter 5: CPU Scheduling. 5.2 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Chapter 5: CPU Scheduling Basic Concepts Scheduling Criteria.
1 11/29/2015 Chapter 6: CPU Scheduling l Basic Concepts l Scheduling Criteria l Scheduling Algorithms l Multiple-Processor Scheduling l Real-Time Scheduling.
Chapter 5: CPU Scheduling. 5.2 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts – 7 th Edition, Feb 2, 2005 Chapter 5: CPU Scheduling Basic.
Silberschatz and Galvin  Operating System Concepts Module 5: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor.
1 CS.217 Operating System By Ajarn..Sutapart Sappajak,METC,MSIT Chapter 5 CPU Scheduling Slide 1 Chapter 5 CPU Scheduling.
6.1 CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor Scheduling Real-Time Scheduling Algorithm Evaluation.
1 CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor Scheduling Real-Time Scheduling.
1 Uniprocessor Scheduling Chapter 3. 2 Alternating Sequence of CPU And I/O Bursts.
Lecture 4 CPU scheduling. Basic Concepts Single Process  one process at a time Maximum CPU utilization obtained with multiprogramming CPU idle :waiting.
CPU Scheduling G.Anuradha Reference : Galvin. CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor Scheduling Real-Time.
CPU scheduling.  Single Process  one process at a time  Maximum CPU utilization obtained with multiprogramming  CPU idle :waiting time is wasted 2.
1 Module 5: Scheduling CPU Scheduling Scheduling Algorithms Reading: Chapter
Basic Concepts Maximum CPU utilization obtained with multiprogramming
1 Lecture 5: CPU Scheduling Operating System Fall 2006.
Silberschatz, Galvin and Gagne ©2009 Operating System Concepts – 8 th Edition Chapter 5: CPU Scheduling.
Chapter 5: CPU Scheduling. 5.2 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Chapter 5: CPU Scheduling Basic Concepts Scheduling Criteria.
1 Chapter 5: CPU Scheduling. 2 Basic Concepts Scheduling Criteria Scheduling Algorithms.
Silberschatz, Galvin and Gagne  Operating System Concepts Chapter 6: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms.
Chapter 6: CPU Scheduling
CPU Scheduling G.Anuradha
Chapter 6: CPU Scheduling
Module 5: CPU Scheduling
3: CPU Scheduling Basic Concepts Scheduling Criteria
Chapter5: CPU Scheduling
Chapter 5: CPU Scheduling
Chapter 6: CPU Scheduling
Chapter 5: CPU Scheduling
Operating System , Fall 2000 EA101 W 9:00-10:00 F 9:00-11:00
Chapter 6: CPU Scheduling
Module 5: CPU Scheduling
Chapter 6: CPU Scheduling
CPU Scheduling: Basic Concepts
Module 5: CPU Scheduling
Presentation transcript:

Chapter 4 CPU Scheduling

2 Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor Scheduling Real-Time Scheduling Algorithm Evaluation

Basic Scheduling Concepts Maximum CPU utilization obtained with multiprogramming. CPU–I/O Burst Cycle – Characterizes process execution, which alternates, between CPU and I/O activity. CPU times are generally much shorter than I/O times. Process execution consists of a cycle of CPU execution and I/O wait. Processes alternate back and fourth between these two states.

4 Alternating Sequence of CPU And I/O Bursts

5 CPU Scheduler Selects from among the processes in memory that are ready to execute, and allocates the CPU to one of them. CPU scheduling decisions may take place when a process: 1.Switches from running to waiting state 2.Switches from running to ready state 3.Switches from waiting to ready 4.Terminates Scheduling under 1 and 4 is nonpreemptive All other scheduling is preemptive

6 Queuing Diagram for Scheduling

Instructor: M. Rasheed7 Preemptive and non - Preemptive. In general, scheduling policies may be preemptive or non- preemptiv e. A scheduling discipline is nonpreemptive if, once a process has been given the CPU, the CPU can not be taken away from that process. Preemptive scheduling is useful in systems in which high-priority processes require rapid-attention.

8 Preemptive and non- Preemptive. In nonpreemptive systems, short jobs are made to wait by longer jobs. In a non- preemptive pure multiprogramming system, the short- term scheduler lets the current process run until it blocks, waiting for an event or a resource, or it terminates. Preemptive policies, on the other hand, force the currently active process to release the CPU on certain events, such as a clock interrupt, some I/ O interrupts, or a system call.

9 Dispatcher Dispatcher module gives control of the CPU to the process selected by the short-term scheduler; this involves: –switching context –switching to user mode –jumping to the proper location in the user program to restart that program Dispatch latency – time it takes for the dispatcher to stop one process and start another running.

10 Scheduling Criteria CPU utilization – keep the CPU as busy as possible Throughput – # of processes that complete their execution per time unit Turnaround time – amount of time to execute a particular process Waiting time – amount of time a process has been waiting in the ready queue Response time – amount of time it takes from when a request was submitted until the first response is produced, not output (for time-sharing environment)

11 Optimization Criteria Max CPU utilization Max throughput Min turnaround time Min waiting time Min response time

12 First-Come, First-Served (FCFS) Scheduling Process Burst Time P 1 24 P 2 3 P 3 3 Suppose that the processes arrive in the order: P 1, P 2, P 3 The Gantt Chart for the schedule is: Waiting time for P 1 = 0; P 2 = 24; P 3 = 27 (milliseconds) Average waiting time: ( )/3 = 17 milliseconds P1P1 P2P2 P3P

13 First-Come, First-Served (Contd.) Suppose that the processes arrive in the order P 2, P 3, P 1. The Gantt chart for the schedule is: Waiting time for P 1 = 6 ; P 2 = 0 ; P 3 = 3 (milliseconds) Average waiting time: ( )/3 = 3 milliseconds Much better than previous case. Convoy effect short process behind long process FCFS scheduling Algorithm is nonpreemptive. P1P1 P3P3 P2P

14 Shortest-Job-First (SJR) Scheduling Associate with each process the length of its next CPU burst. Use these lengths to schedule the process with the shortest time Two schemes: –nonpreemptive – once CPU given to the process it cannot be preempted until completes its CPU burst –preemptive – if a new process arrives with CPU burst length less than remaining time of current executing process, preempt. This scheme is know as the Shortest-Remaining-Time-First (SRTF) SJF is optimal – gives minimum average waiting time for a given set of processes

15 ProcessArrival TimeBurst Time P P P P SJF (non-preemptive) Average waiting time = ( )/4 = 4 Example of Non-Preemptive SJF P1P1 P3P3 P2P P4P4 812

16 Example of Preemptive SJF ProcessArrival TimeBurst Time P P P P SJF (preemptive) Average waiting time = ( )/4 = 3 P1P1 P3P3 P2P P4P4 57 P2P2 P1P1 16

Instructor: M. Rasheed17 Priority Scheduling A priority number (integer) is associated with each process The CPU is allocated to the process with the highest priority (smallest integer  highest priority) –Preemptive –nonpreemptive SJF is a priority scheduling where priority is the predicted next CPU burst time Problem  Starvation – low priority processes may never execute Solution  Aging – as time progresses increase the priority of the process

18 Round Robin (RR) Each process gets a small unit of CPU time ( time quantum ), usually milliseconds. After this time has elapsed, the process is preempted and added to the end of the ready queue. If there are n processes in the ready queue and the time quantum is q, then each process gets 1/ n of the CPU time in chunks of at most q time units at once. No process waits more than ( n -1) q time units. Performance – q large  FIFO – q small  q must be large with respect to context switch, otherwise overhead is too high.

19 Example of RR with Time Quantum = 20 ProcessBurst Time P 1 53 P 2 17 P 3 68 P 4 24 The Gantt chart is: Typically, higher average turnaround than SJF, but better response P1P1 P2P2 P3P3 P4P4 P1P1 P3P3 P4P4 P1P1 P3P3 P3P

20 Time Quantum and Context Switch Time

21 Turnaround Time Varies With The Time Quantum

22 Multilevel Queue Ready queue is partitioned into separate queues: –Foreground (interactive) –Background (batch) Each queue has its own scheduling algorithm, –Foreground – RR –Background – FCFS Scheduling must be done between the queues. –Fixed priority scheduling; (i.e., serve all from foreground then from background). –Time slice – each queue gets a certain amount of CPU time which it can schedule amongst its processes; i.e., 80% to foreground in RR. –20% to background in FCFS.

23 Multilevel Queue Scheduling

24 Multilevel Queue Scheduling

Instructor: M. Rasheed25 Multilevel Feedback Queue A process can move between the various queues. Multilevel-feedback-queue scheduler defined by the following parameters: –number of queues –scheduling algorithms for each queue –method used to determine when to upgrade a process –method used to determine when to demote a process –method used to determine which queue a process will enter when that process needs service

26 Example of Multilevel Feedback Queue Three queues: – Q 0 – time quantum 8 milliseconds – Q 1 – time quantum 16 milliseconds – Q 2 – FCFS Scheduling –A new job enters queue Q 0. When it gains CPU, job receives 8 milliseconds. If it does not finish in 8 milliseconds, job is moved to queue Q 1. –At Q 1 job is again receives 16 additional milliseconds. If it still does not complete, it is preempted and moved to queue Q 2.

27 Multilevel Feedback Queues

28 Multiple-Processor Scheduling CPU scheduling more complex when multiple CPUs are available. Homogeneous processors within a multiprocessor Load sharing Asymmetric multiprocessing – only one processor accesses the system data structures, alleviating the need for data sharing

29 Real-Time Scheduling Hard real-time systems – required to complete a critical task within a guaranteed amount of time. Soft real-time computing – requires that critical processes receive priority over less fortunate ones

30 Algorithm Evaluation Deterministic modeling – Take a particular predetermined workload and defines the performance of each algorithm for that workload. Queuing models - Since queues play an important role in scheduling, if we estimate arrival rates and service rates, it is possible to compute utilization, average queue length, average wait time, etc. This area of study is called Q ueueing - network analysis.

31 Algorithm evaluation (Contd…) Simulations - Create a model of a computer system and scheduling algorithm's; data to drive the simulation is created randomly, from mathematical models, or from real system traces Implementation - Actually implement it and try it in the OS