chapter 5: cpu scheduling
DESCRIPTION
Chapter 5: CPU Scheduling. Adapted to COP4610 by Robert van Engelen. Basic Concepts. Maximum CPU utilization is obtained with multiprogramming Several processes are kept in memory at one time When a process has to wait, the OS scheduler switches the CPU to another process - PowerPoint PPT PresentationTRANSCRIPT
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Chapter 5: CPU SchedulingChapter 5: CPU Scheduling
Adapted to COP4610 by Robert van Engelen
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5.2 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Basic ConceptsBasic Concepts
Maximum CPU utilization is obtained with multiprogramming
Several processes are kept in memory at one time
When a process has to wait, the OS scheduler switches the CPU to another process
Process execution consists of a cycle of CPU execution and I/O wait of varying (but usually short) durations
A process alternates between a CPU burst and an I/O burst
Processes have different CPU-I/O burst distributions
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5.3 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Histogram of CPU-burst TimesHistogram of CPU-burst Times
A CPU-bound process typically has few long CPU burst
An I/O-bound process typically has many short CPU burst
The burst distribution in a system is important for the selection of a CPU-scheduling algorithm (exponential distribution: many more short bursts)
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5.4 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
CPU SchedulerCPU Scheduler
Recall that the short-term scheduler selects from among the processes in memory that are ready to execute, and allocates the CPU to one of them through the dispatcher
CPU scheduling decisions may take place when a process:
1. Switches from running to waiting state (e.g. I/O wait)
2. Switches from running to ready state (e.g. interrupt)
3. Switches from waiting to ready (e.g. I/O completion)
4. Terminates Scheduling under 1 and 4 is nonpreemptive (cooperative) All other scheduling is preemptive, where processes can be
switched at any time without process cooperation Requires hardware support (timer)
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5.5 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
DispatcherDispatcher
The dispatcher module gives control of the CPU to the process selected by the short-term scheduler
This involves:
Switching context using the context info in the PCB
Switching to user mode
Jumping to the proper location in the user program to restart that program (program counter is in the PCB)
This incurs overhead, the dispatch latency
The time it takes for the dispatcher to stop one process and start another running
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5.6 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Dispatch LatencyDispatch Latency
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5.7 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Scheduling CriteriaScheduling Criteria
Criteria to consider for scheduling:
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)
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5.8 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Optimization CriteriaOptimization Criteria
When selecting a scheduling algorithm, one or more criteria can be optimized:
Max CPU utilization
Max throughput
Min turnaround time
Min waiting time
Min response time
Not all criteria can be optimized together, because the optimization goals may be (mutually) exclusive
Usually the average measures are optimized
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5.9 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
First-Come, First-Served (FCFS) SchedulingFirst-Come, First-Served (FCFS) Scheduling
Process Burst Time
P1 24
P2 3
P3 3
Suppose that the processes arrive in the order: P1 , P2 , P3
The Gantt Chart for the schedule is:
Waiting time for P1 = 0; P2 = 24; P3 = 27 Average waiting time: (0 + 24 + 27)/3 = 17 FCFS is nonpreemptive and usually managed with a FIFO queue
P1 P2 P3
24 27 300
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5.10 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
FCFS Scheduling (Cont.)FCFS Scheduling (Cont.)
Suppose that the processes arrive in the order
P2 , P3 , P1
The Gantt chart for the schedule is:
Waiting time for P1 = 6; P2 = 0; P3 = 3
Average waiting time: (6 + 0 + 3)/3 = 3
Much better than previous case
FCFS can lead to the convoy effect, where short processes wait for the long process to get off the CPU
P1P3P2
63 300
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5.11 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Shortest-Job-First (SJF) SchedulingShortest-Job-First (SJF) 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 also known as
Shortest-Remaining-Time-First (SRTF) scheduling SJF is optimal – gives minimum average waiting time for a
given set of processes
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5.12 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Process Arrival Time Burst Time
P1 0.0 7
P2 2.0 4
P3 4.0 1
P4 5.0 4
SJF according to arrival time (non-preemptive)
Average waiting time = (0 + 6 + 3 + 7)/4 = 4
Example of Non-Preemptive SJFExample of Non-Preemptive SJF
P1 P3 P2
73 160
P4
8 12
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5.13 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Example of Preemptive SJFExample of Preemptive SJF
Process Arrival Time Burst Time
P1 0.0 7
P2 2.0 4
P3 4.0 1
P4 5.0 4
SJF according to arrival time (preemptive)
Average waiting time = (9 + 1 + 0 +2)/4 = 3
Better than nonpreemptive SJF
P1 P3P2
42 110
P4
5 7
P2 P1
16
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5.14 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Determining Length of Next CPU BurstDetermining Length of Next CPU Burst
Problem: can only estimate the length of the next CPU burst!
Estimate the length using the length of previous CPU bursts, and by using exponential averaging
:Define 4.
10 , 3.
burst CPU next the for value predicted 2.
burst CPU of lenght actual 1.
1
≤≤=
=
+
αατ n
thn nt
( ) .1 1 nnn t ταατ −+==
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5.15 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Prediction of the Length of the Next CPU BurstPrediction of the Length of the Next CPU Burst
Actual CPU burst time ti
Predicted CPU burst time i
with = 1/2 and 0 = 10
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5.16 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Examples of Exponential AveragingExamples of Exponential Averaging
1. Suppose α =0
• Then τn+1 = τn
Recent history does not count
2. Suppose α =1
• Then τn+1 = α tn
Only the actual last CPU burst counts
3. If we expand the formula, we get:
τn+1 = α tn+(1 - α)α tn -1 + …
+(1 - α )j α tn -j + …
+(1 - α )n +1 τ0
4. Since both α and (1 - α) are less than or equal to 1, each successive term has less weight than its predecessor
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5.17 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Priority SchedulingPriority Scheduling
A priority number (integer) is associated with each process
The CPU is allocated to the process with the highest priority
Preemptive
Nonpreemptive
SJF is a priority scheduling where priority is the predicted next CPU burst time
Problem Starvation (indefinite blocking) – low priority processes may never execute
Solution Aging – as time progresses increase the priority of the process
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5.18 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Round Robin (RR)Round Robin (RR)
Similar to FCFS, but with preemption Each process gets a small unit of CPU time (time quantum),
usually 10-100 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
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5.19 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Example of RR with Time Quantum = 20Example of RR with Time Quantum = 20
Process Burst Time
P1 53
P2 17
P3 68
P4 24 The Gantt chart is:
Typically, higher average turnaround than SJF, but better response
P1 P2 P3 P4 P1 P3 P4 P1 P3 P3
0 20 37 57 77 97 117 121 134 154 162
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5.20 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Time Quantum and Context SwitchesTime Quantum and Context Switches
Smaller time quanta means more context switches
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5.21 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Turnaround Time Varies With The Time QuantumTurnaround Time Varies With The Time Quantum
Average turnaround time does not necessarily improve with larger quantum
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5.22 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Multilevel QueueMultilevel 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 – serve all from foreground then from
background Possibility of starvation
Time slice – each queue gets a certain amount of CPU time which it can schedule amongst its processes; 80% to foreground in RR 20% to background in FCFS
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5.23 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Multilevel Queue SchedulingMultilevel Queue Scheduling
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5.24 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Multilevel Feedback QueueMultilevel Feedback Queue
A process can move between the various queues based on process characteristics (aging can be implemented this way) If a process uses too much CPU time, it is moved to a lower
priority queue If a process waits too long in a lower-priority queue, it is moved
to a higher priority queue Multilevel-feedback-queue scheduler is defined by choosing the
following parameters: How many queues? Which scheduling algorithms for each queue? How to determine when to upgrade a process? How to determine when to demote a process? How to determine which queue a process will enter when that
process needs service?
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5.25 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Example of Multilevel Feedback QueueExample of Multilevel Feedback Queue
Three queues: Q0 – RR with time quantum 8
Q1 – RR time quantum 16
Q2 – FCFS Scheduling
A new job enters queue Q0 which is served FCFS. When it gains CPU, job receives 8 milliseconds. If it does not finish in 8 milliseconds, job is moved to queue Q1
At Q1 job is again served FCFS and receives 16 additional milliseconds. If it still does not complete, it is preempted and moved to queue Q2
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5.26 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Multiple-Processor SchedulingMultiple-Processor Scheduling
If multiple CPUs are available, load sharing is possible
CPU scheduling is more complex with multiple CPUs
We assume homogeneous processors within a multiprocessor system
Asymmetric multiprocessing – only one processor accesses the system data structures, alleviating the need for data sharing
Symmetric multiprocessing (SMP) – each processor is self-scheduling using a scheduler that accesses
one common ready queue, or
each processor has a private ready queue
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5.27 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Processor AffinityProcessor Affinity
Migrating a process between processors in SMP causes cache invalidation on the processor being migrated from and cache repopulation on the processor migrated to
Processor affinity keeps a process running on the same processor to reduce cache migration overhead Soft affinity – OS attempts to keep a process on the
same processor Hard affinity – System call is available to specify that a
process is not to migrate to other processors
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5.28 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Symmetric MultithreadingSymmetric Multithreading
SMT (or hyperthreading) provides multiple logical CPUs on a physical CPU
Each logical CPU has own architectural state, i.e. registers, pipelines, mode bits, and interrupt states
Logical CPUs share memory, bus, and cache
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5.29 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Thread SchedulingThread Scheduling
Local Scheduling – How the threads library decides which user-level thread to put onto an available LWP
The process-contention scope (PCS) scheme
Typically schedules the user-level thread with highest priority (determined by user and thread library)
Supports many-to-many and many-to-one models
Global Scheduling – How the kernel decides which kernel thread to run next
The system-contention scope (SCS) scheme
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5.30 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Pthread Scheduling APIPthread Scheduling API
#include <pthread.h>#include <stdio.h>#define NUM THREADS 5int main(int argc, char *argv[]){
int i;pthread t tid[NUM THREADS];pthread attr t attr;/* get the default attributes */pthread attr init(&attr);/* set the scheduling algorithm to PROCESS or SYSTEM */pthread attr setscope(&attr, PTHREAD SCOPE SYSTEM);/* set the scheduling policy - FIFO, RT, or OTHER */pthread attr setschedpolicy(&attr, SCHED OTHER);/* create the threads */for (i = 0; i < NUM THREADS; i++)
pthread create(&tid[i],&attr,runner,NULL);
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5.31 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Pthread Scheduling APIPthread Scheduling API
/* now join on each thread */
for (i = 0; i < NUM THREADS; i++)
pthread join(tid[i], NULL);
}
/* Each thread will begin control in this function */
void *runner(void *param)
{
printf("I am a thread\n");
pthread exit(0);
}
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5.32 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Operating System ExamplesOperating System Examples
Solaris scheduling
Windows XP scheduling
Linux scheduling
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5.33 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Solaris 2 SchedulingSolaris 2 Scheduling
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5.34 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Solaris Dispatch Table Solaris Dispatch Table
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5.35 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Windows XP PrioritiesWindows XP Priorities
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5.36 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Linux SchedulingLinux Scheduling
Two algorithms: time-sharing and real-time Time-sharing
Prioritized credit-based – process with most credits is scheduled next
Credit subtracted when timer interrupt occurs When credit = 0, another process chosen When all processes have credit = 0, recrediting occurs
Based on factors including priority and history Real-time
Soft real-time Posix.1b compliant – two classes
FCFS and RR Highest priority process always runs first
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5.37 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Real-Time SchedulingReal-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
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5.38 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
The Relationship Between Priorities and Time-slice lengthThe Relationship Between Priorities and Time-slice length
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5.39 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
List of Tasks Indexed According to ProritiesList of Tasks Indexed According to Prorities
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5.40 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Scheduling Algorithm EvaluationScheduling Algorithm Evaluation
Evaluation and tuning is based on modeling and simulation
Deterministic modeling – takes a particular predetermined workload and defines the performance of each algorithm for that workload
Queueing models
Simulation
Actual implementation
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5.41 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Deterministic Modeling: FCFS vs. SJF vs. RRDeterministic Modeling: FCFS vs. SJF vs. RR
Process Burst Time
P1 10
P2 29
P3 3
P4 7
P5 12
Arrival at time 0 Consider FCFS, SFJ, and RR with quantum = 10 Which algorithm(s) give the minimum average waiting time in this
case?
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5.42 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Deterministic Modeling (cont’d)Deterministic Modeling (cont’d)
FCFS: average waiting time is 28 milliseconds
SJF (nonpreemptive): average waiting time is 13 milliseconds
RR: average waiting time is 23 milliseconds
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5.43 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
CPU Scheduler SimulationCPU Scheduler Simulation
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5.44 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Special Topic: Java Thread SchedulingSpecial Topic: Java Thread Scheduling
JVM uses a preemptive, priority-based scheduling algorithm
FIFO queue is used if there are multiple threads with the same priority
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5.45 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Java Thread Scheduling (cont’d)Java Thread Scheduling (cont’d)
JVM schedules a thread to run when:
1. The currently running thread exits the runnable state
2. A higher priority thread enters the runnable state
* Note – the JVM does not specify whether threads are time-sliced or not. The JVM is portable to hardware that may not support preemptive scheduling
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5.46 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Time-SlicingTime-Slicing
Since the JVM doesn’t ensure time-slicing, the yield() method may be used:
while (true) {
// perform CPU-intensive task
. . .
Thread.yield();
}
This yields control to another thread of equal priority
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5.47 Silberschatz, Galvin and Gagne ©2005Operating System Concepts – 7th Edition, Feb 2, 2005
Thread PrioritiesThread Priorities
Priority Comment
Thread.MIN_PRIORITY Minimum Thread Priority
Thread.MAX_PRIORITY Maximum Thread Priority
Thread.NORM_PRIORITY Default Thread Priority
Priorities may be set using setPriority() method:
setPriority(Thread.NORM_PRIORITY + 2);
![Page 48: Chapter 5: CPU Scheduling](https://reader035.vdocuments.us/reader035/viewer/2022062520/5681588e550346895dc5eeb4/html5/thumbnails/48.jpg)
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