Chapter 5: CPU Scheduling

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Operating System Concepts – 8th Edition

5.1

Operating System Concepts – 8th Edition

Chapter 5: CPU Scheduling

n

n

Basic Concepts

n

Scheduling Criteria

n

Scheduling Algorithms

n Multiple-Processor Scheduling n Operating Systems Examples n

Thread Scheduling

Algorithm Evaluation

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5.2

Operating System Concepts – 8th Edition

Objectives

n

n

To introduce CPU scheduling, which is the basis for multiprogrammed operating systems

n

To describe various CPU-scheduling algorithms

To discuss evaluation criteria for selecting a CPU-scheduling algorithm for a particular system

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5.3

Operating System Concepts – 8th Edition

Basic Concepts

n Maximum CPU utilization obtained with multiprogramming

n

n

CPU–I/O Burst Cycle – Process execution consists of a cycle of CPU execution and I/O wait

CPU burst distribution

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Alternating Sequence of CPU and I/O Bursts

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Histogram of CPU-burst Times

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CPU Scheduler

n

l Queue may be ordered in various ways

n

Selects from among the processes in ready queue, and allocates the CPU to one of them

CPU scheduling decisions may take place when a process: Switches from running to waiting state 1.

Switches from running to ready state 2.

4.

Switches from waiting to ready 3.

n

Terminates

n

Scheduling under 1 and 4 is nonpreemptive

l. Consider access to shared data l. Consider preemption while in kernel mode l. Consider interrupts occurring during crucial OS activities

All other scheduling is preemptive

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Operating System Concepts – 8th Edition

Dispatcher

n

l switching context l switching to user mode l jumping to the proper location in the user program to restart that program

n

Dispatcher module gives control of the CPU to the process selected by the short-term scheduler; this involves:

Dispatch latency – time it takes for the dispatcher to stop one process and start another running

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5.8

Operating System Concepts – 8th Edition

Scheduling Criteria

n

n

CPU utilization – keep the CPU as busy as possible

n

Throughput – # of processes that complete their execution per time unit

n Waiting time – amount of time a process has been waiting in the ready queue

n

Turnaround time – amount of time to execute a particular process

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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Scheduling Algorithm Optimization Criteria

n Max CPU utilization n Max throughput n Min turnaround time n Min waiting time n Min response time

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First-Come, First-Served (FCFS) Scheduling

Process Burst Time

n

P1 24 P2 3 P3 3

Suppose that the processes arrive in the order: P1 , P2 , P3 The Gantt Chart for the schedule is:

P1 P2 P3

n Waiting time for P1 = 0; P2 = 24; P3 = 27 n Average waiting time: (0 + 24 + 27)/3 = 17

0 24 27 30

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FCFS Scheduling (Cont.)

Suppose that the processes arrive in the order:

n

P2 , P3 , P1

The Gantt chart for the schedule is:

P2 P3 P1

n Waiting time for P1 = 6; P2 = 0; P3 = 3 n Average waiting time: (6 + 0 + 3)/3 = 3

n Much better than previous case n

0 3 6 30

l Consider one CPU-bound and many I/O-bound processes

Convoy effect - short process behind long process

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5.12

Operating System Concepts – 8th Edition

Shortest-Job-First (SJF) Scheduling

n

l Use these lengths to schedule the process with the shortest time

n

Associate with each process the length of its next CPU burst

l The difficulty is knowing the length of the next CPU request l Could ask the user

SJF is optimal – gives minimum average waiting time for a given set of processes

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5.13

Operating System Concepts – 8th Edition

Example of SJF

ProcessArriva l Time Burst Time

P1 0.0 6

P2 2.0 8

P3 4.0 7

n

P4 5.0 3

SJF scheduling chart

P3 P2 P4 P1

n

3 9 16 24 0

Average waiting time = (3 + 16 + 9 + 0) / 4 = 7

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5.14

Operating System Concepts – 8th Edition

Determining Length of Next CPU Burst

n

l Then pick process with shortest predicted next CPU burst

n

Can only estimate the length – should be similar to the previous one

th

=

length

of

n

CPU

burst

n

value

for

the next

CPU

burst

actual = predicted a

Can be done by using the length of previous CPU bursts, using exponential averaging

1

t 1. t 2. a 3. 4.

+ 1n 0 , Define

:

n

£ £

n

Commonly, α set to ½

t

=

a

a

) t

t

( -+ 1

.

=

n

n

1

n

Preemptive version called shortest-remaining-time-first

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5.15

Operating System Concepts – 8th Edition

Prediction of the Length of the Next CPU Burst

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Operating System Concepts – 8th Edition

Examples of Exponential Averaging

n

l (cid:0) n+1 = (cid:0) n l Recent history does not count

n

(cid:0) =0

l (cid:0) n+1 = (cid:0) tn l Only the actual last CPU burst counts

(cid:0) =1

n (cid:0) n+1 = (cid:0) tn+(1 - (cid:0) )(cid:0) tn -1 + …

If we expand the formula, we get:

+(1 - (cid:0) )j (cid:0) tn -j + …

n

+(1 - (cid:0) )n +1 (cid:0) 0

Since both (cid:0) and (1 - (cid:0) ) are less than or equal to 1, each successive term has less weight than its predecessor

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5.17

Operating System Concepts – 8th Edition

Example of Shortest-remaining-time-first

n

Now we add the concepts of varying arrival times and preemption to the analysis

ProcessA arri Arrival TimeTBurst Time

P1 0 8

P2 1 4

P3 2 9

n

P4 3 5

Preemptive SJF Gantt Chart

P1 P3 P4 P2 P1

n

0 5 1 10 17 26

Average waiting time = [(10-1)+(1-1)+(17-2)+5-3)]/4 = 26/4 = 6.5 msec

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5.18

Operating System Concepts – 8th Edition

Priority Scheduling

n

n

A priority number (integer) is associated with each process

l Preemptive l Nonpreemptive

n

The CPU is allocated to the process with the highest priority (smallest integer (cid:0) highest priority)

n

SJF is priority scheduling where priority is the inverse of predicted next CPU burst time

n

Problem (cid:0) Starvation – low priority processes may never execute

Solution (cid:0) Aging – as time progresses increase the priority of the process

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5.19

Operating System Concepts – 8th Edition

Example of Priority Scheduling

ProcessA arri Burst TimeT Priority

P1 10 3

P2 1 1

P3 2 4

P4 1 5

n

P5 5 2

Priority scheduling Gantt Chart

P1 P5 P3 P4 P2

n

0 6 1 16 18 19

Average waiting time = 8.2 msec

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Round Robin (RR)

n

n

Each process gets a small unit of CPU time (time quantum q), usually 10-100 milliseconds. After this time has elapsed, the process is preempted and added to the end of the ready queue.

n

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.

n

Timer interrupts every quantum to schedule next process

l q large (cid:0) FIFO l q small (cid:0) q must be large with respect to context switch, otherwise overhead is too high

Performance

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Operating System Concepts – 8th Edition

Example of RR with Time Quantum = 4

Process Burst Time

n

P1 24 P2 3 P3 3

The Gantt chart is:

P1 P2 P3 P1 P1 P1 P1 P1

n

n

n

0 10 14 18 22 26 30 4 7

Typically, higher average turnaround than SJF, but better response q should be large compared to context switch time q usually 10ms to 100ms, context switch < 10 usec

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Time Quantum and Context Switch Time

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Turnaround Time Varies With The Time Quantum

80% of CPU bursts should be shorter than q

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Operating System Concepts – 8th Edition

Multilevel Queue

n

l foreground (interactive) l background (batch)

n

Ready queue is partitioned into separate queues, eg:

n

Process permanently in a given queue

l foreground – RR l background – FCFS

n

Each queue has its own scheduling algorithm:

l Fixed priority scheduling; (i.e., serve all from foreground then from background). Possibility of

Scheduling must be done between the queues:

l Time slice – each queue gets a certain amount of CPU time which it can schedule amongst its

starvation.

l 20% to background in FCFS

processes; i.e., 80% to foreground in RR

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Multilevel Queue Scheduling

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5.26

Operating System Concepts – 8th Edition

Multilevel Feedback Queue

n

n Multilevel-feedback-queue scheduler defined by the following parameters:

l number of queues l scheduling algorithms for each queue l method used to determine when to upgrade a process l method used to determine when to demote a process l method used to determine which queue a process will enter when that process needs service

A process can move between the various queues; aging can be implemented this way

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Operating System Concepts – 8th Edition

Example of Multilevel Feedback Queue

n

l Q0 – RR with time quantum 8 milliseconds l Q1 – RR time quantum 16 milliseconds l Q2 – FCFS

n

Three queues:

l A new job enters queue Q0 which is served FCFS

4 When it gains CPU, job receives 8 milliseconds

4 If it does not finish in 8 milliseconds, job is moved to queue Q1 l At Q1 job is again served FCFS and receives 16 additional milliseconds 4 If it still does not complete, it is preempted and moved to queue Q2

Scheduling

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Multilevel Feedback Queues

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Thread Scheduling

n

n When threads supported, threads scheduled, not processes

n Many-to-one and many-to-many models, thread library schedules user-level threads to run on LWP

l Known as process-contention scope (PCS) since scheduling competition is within the process l Typically done via priority set by programmer

n

Distinction between user-level and kernel-level threads

Kernel thread scheduled onto available CPU is system-contention scope (SCS) – competition among all threads in system

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Pthread Scheduling

n

l PTHREAD_SCOPE_PROCESS schedules threads using PCS scheduling l PTHREAD_SCOPE_SYSTEM schedules threads using SCS scheduling

n

API allows specifying either PCS or SCS during thread creation

Can be limited by OS – Linux and Mac OS X only allow PTHREAD_SCOPE_SYSTEM

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Operating System Concepts – 8th Edition

Pthread Scheduling API

#include  #include  #define NUM THREADS 5 int 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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Operating System Concepts – 8th Edition

Pthread 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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5.33

Operating System Concepts – 8th Edition

Multiple-Processor Scheduling

n

n

CPU scheduling more complex when multiple CPUs are available

n

Homogeneous processors within a multiprocessor

n

Asymmetric multiprocessing – only one processor accesses the system data structures, alleviating the need for data sharing

l Currently, most common

n

Symmetric multiprocessing (SMP) – each processor is self-scheduling, all processes in common ready queue, or each has its own private queue of ready processes

l soft affinity l hard affinity l Variations including processor sets

Processor affinity – process has affinity for processor on which it is currently running

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NUMA and CPU Scheduling

Note that memory-placement algorithms can also consider affinity

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Operating System Concepts – 8th Edition

Multicore Processors

n

n

Recent trend to place multiple processor cores on same physical chip

n Multiple threads per core also growing

l Takes advantage of memory stall to make progress on another thread while memory retrieve happens

Faster and consumes less power

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Multithreaded Multicore System

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Virtualization and Scheduling

n

n

Virtualization software schedules multiple guests onto CPU(s)

l Not knowing it doesn’t own the CPUs l Can result in poor response time l Can effect time-of-day clocks in guests

n

Each guest doing its own scheduling

Can undo good scheduling algorithm efforts of guests

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Operating System Examples

n

Solaris scheduling n Windows XP scheduling n Linux scheduling

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Solaris

n

n

Priority-based scheduling

l Time sharing (default) l Interactive l Real time l System l Fair Share l Fixed priority

n Given thread can be in one class at a time n

Six classes available

n

Each class has its own scheduling algorithm

l Loadable table configurable by sysadmin

Time sharing is multi-level feedback queue

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5.40

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Solaris Dispatch Table

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Solaris Scheduling

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Solaris Scheduling (Cont.)

n

l Thread with highest priority runs next l Runs until (1) blocks, (2) uses time slice, (3) preempted by higher-priority thread l Multiple threads at same priority selected via RR

Scheduler converts class-specific priorities into a per-thread global priority

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5.43

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Windows Scheduling

n Windows uses priority-based preemptive scheduling n

n

Highest-priority thread runs next

n

Dispatcher is scheduler

n

Thread runs until (1) blocks, (2) uses time slice, (3) preempted by higher-priority thread

n

Real-time threads can preempt non-real-time

n

32-level priority scheme

n

Variable class is 1-15, real-time class is 16-31

n Queue for each priority n

Priority 0 is memory-management thread

If no run-able thread, runs idle thread

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5.44

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Windows Priority Classes

n Win32 API identifies several priority classes to which a process can belong l REALTIME_PRIORITY_CLASS, HIGH_PRIORITY_CLASS,

l All are variable except REALTIME

n

ABOVE_NORMAL_PRIORITY_CLASS,NORMAL_PRIORITY_CLASS, BELOW_NORMAL_PRIORITY_CLASS, IDLE_PRIORITY_CLASS

l TIME_CRITICAL, HIGHEST, ABOVE_NORMAL, NORMAL, BELOW_NORMAL, LOWEST, IDLE

n

A thread within a given priority class has a relative priority

n

Priority class and relative priority combine to give numeric priority

n

Base priority is NORMAL within the class

n

If quantum expires, priority lowered, but never below base

n

If wait occurs, priority boosted depending on what was waited for

Foreground window given 3x priority boost

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5.45

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Windows XP Priorities

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5.46

Operating System Concepts – 8th Edition

Linux Scheduling

n

n

n

n n Map into global priority with numerically lower values indicating higher priority n

n

n

n

Constant order O(1) scheduling time Preemptive, priority based Two priority ranges: time-sharing and real-time Real-time range from 0 to 99 and nice value from 100 to 140

l Two priority arrays (active, expired) l Tasks indexed by priority l When no more active, arrays are exchanged

Higher priority gets larger q Task run-able as long as time left in time slice (active) If no time left (expired), not run-able until all other tasks use their slices All run-able tasks tracked in per-CPU runqueue data structure

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5.47

Operating System Concepts – 8th Edition

Linux Scheduling (Cont.)

n

n

Real-time scheduling according to POSIX.1b l Real-time tasks have static priorities

l Interactivity of task determines plus or minus

4 More interactive -> more minus

l Priority recalculated when task expired l This exchanging arrays implements adjusted priorities

All other tasks dynamic based on nice value plus or minus 5

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5.48

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Priorities and Time-slice length

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5.49

Operating System Concepts – 8th Edition

List of Tasks Indexed According to Priorities

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5.50

Operating System Concepts – 8th Edition

Algorithm Evaluation

n

n

How to select CPU-scheduling algorithm for an OS?

n

Determine criteria, then evaluate algorithms

l Type of analytic evaluation l Takes a particular predetermined workload and defines the performance of each algorithm for that

Deterministic modeling

workload

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5.51

Operating System Concepts – 8th Edition

Queueing Models

n

l Commonly exponential, and described by mean l Computes average throughput, utilization, waiting time, etc

n

Describes the arrival of processes, and CPU and I/O bursts probabilistically

l Knowing arrival rates and service rates l Computes utilization, average queue length, average wait time, etc

Computer system described as network of servers, each with queue of waiting processes

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5.52

Operating System Concepts – 8th Edition

Little’s Formula

n

n W = average waiting time in queue n λ = average arrival rate into queue

n

n = average queue length

l Valid for any scheduling algorithm and arrival distribution

n

Little’s law – in steady state, processes leaving queue must equal processes arriving, thus n = λ x W

For example, if on average 7 processes arrive per second, and normally 14 processes in queue, then average wait time per process = 2 seconds

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5.53

Operating System Concepts – 8th Edition

Simulations

n Queueing models limited n

l Programmed model of computer system l Clock is a variable l Gather statistics indicating algorithm performance l Data to drive simulation gathered via

4 Random number generator according to probabilities

4 Distributions defined mathematically or empirically

4 Trace tapes record sequences of real events in real systems

Simulations more accurate

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5.54

Operating System Concepts – 8th Edition

Evaluation of CPU Schedulers by Simulation

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Operating System Concepts – 8th Edition

Implementation

n Even simulations have limited accuracy n Just implement new scheduler and test in real systems

n High cost, high risk n Environments vary

n Most flexible schedulers can be modified per-site or per-system n Or APIs to modify priorities n But again environments vary

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End of Chapter 5

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Operating System Concepts – 8th Edition

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5.08

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In-5.7

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Operating System Concepts – 8th Edition

In-5.8

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In-5.9

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5.61

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Dispatch Latency

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Operating System Concepts – 8th Edition

Java Thread Scheduling

n

n

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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Operating System Concepts – 8th Edition

Java Thread Scheduling (Cont.)

1.

JVM Schedules a Thread to Run When:

2.

The Currently Running Thread Exits the Runnable State

A Higher Priority Thread Enters the Runnable State

* Note – the JVM Does Not Specify Whether Threads are Time-Sliced or Not

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Operating System Concepts – 8th Edition

Time-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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Operating System Concepts – 8th Edition

Thread 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);

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Solaris 2 Scheduling

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Operating System Concepts – 8th Edition