CH06.pdf

1
Chapter 6: CPU Scheduling
Chapter 6: CPU Scheduling
Basic Concepts
Scheduling Criteria
Scheduling Algorithms
Thread Scheduling
Multiple-Processor Scheduling
Real-Time CPU Scheduling
Operating Systems Examples
Algorithm Evaluation

2
Objectives
To introduce CPU scheduling, which is the basis for multi-programmed operating
systems
To describe various CPU-scheduling algorithms
To discuss evaluation criteria for selecting a CPU-scheduling algorithm for a
particular system
To examine the scheduling algorithms of several operating systems
Basic Concepts
Maximum CPU utilization obtained with
multiprogramming
CPU–I/O Burst Cycle – Process
execution consists of a cycle of CPU
execution and I/O wait
CPU burst followed by I/O burst
CPU burst distribution is of main concern

3
Histogram of CPU-burst Times
CPU Scheduler
Short-term scheduler selects from among the processes in ready queue, and
allocates the CPU to one of them
Queue may be ordered in various ways
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 non-preemptive
All other scheduling is preemptive
Consider access to shared data
Consider preemption while in kernel mode
Consider interrupts occurring during crucial OS activities

4
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
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)

5
Scheduling Algorithm Optimization Criteria
Max CPU utilization
Max throughput
Min turnaround time
Min waiting time
Min response time
First- 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

6
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
Convoy effect - short process behind long process
Consider one CPU-bound and many I/O-bound processes
Shortest-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
SJF is optimal – gives minimum average waiting time for a given set of processes
The difficulty is knowing the length of the next CPU request
Could ask the user

7
Example of SJF
ProcessArriva l Time Burst Time
P1 0.0 6
P2 2.0 8
P3 4.0 7
P4 5.0 3
SJF scheduling chart
Average waiting time = (3 + 16 + 9 + 0) / 4 = 7
Determining Length of Next CPU Burst
Can only estimate the length – should be similar to the previous one
Then pick process with shortest predicted next CPU burst
Can be done by using the length of previous CPU bursts, using exponential
averaging
Commonly, α set to ½
Preemptive version called shortest-remaining-time-first

8
Prediction of the Length of the Next CPU Burst
Examples of Exponential Averaging
 =0
n+1 = n
Recent history does not count
 =1
n+1 =  tn
Only the actual last CPU burst counts
If we expand the formula, we get:
n+1 =  tn+(1 - ) tn -1 + …
+(1 -  )j  tn -j + …
+(1 -  )n +1 0
Since both  and (1 - ) are less than or equal to 1, each successive term has
less weight than its predecessor

9
Example of Shortest-remaining-time-first
Now we add the concepts of varying arrival times and preemption to the analysis
ProcessAarri Arrival TimeTBurst Time
P1 0 8
P2 1 4
P3 2 9
P4 3 5
Preemptive SJF Gantt Chart
Average waiting time = [(10-1)+(1-1)+(17-2)+5-3)]/4 = 26/4 = 6.5 msec
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
Non-preemptive
SJF is priority scheduling where priority is the inverse of predicted next CPU burst
time
Problem  Starvation – low priority processes may never execute
Solution  Aging – as time progresses increase the priority of the process

10
Example of Priority Scheduling
ProcessAarri Burst TimeTPriority
P1 10 3
P2 1 1
P3 2 4
P4 1 5
P5 5 2
Priority scheduling Gantt Chart
Average waiting time = 8.2 msec
Round Robin (RR)
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.
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.
Timer interrupts every quantum to schedule next process
Performance
q large  FIFO
q small  q must be large with respect to context switch, otherwise overhead is
too high

11
Example of RR with Time Quantum = 4
Process Burst Time
P1 24
P2 3
P3 3
The Gantt chart is:
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 µsec
Time Quantum and Context Switch Time

12
Turnaround Time Varies With The Time Quantum
80% of CPU bursts should
be shorter than q
Multilevel Queue
Ready queue is partitioned into separate queues, e.g.:
foreground (interactive)
background (batch)
Process permanently in a given queue
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).
Possibility of starvation.
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

13
Multilevel Queue Scheduling
Multilevel Feedback Queue
A process can move between the various queues; aging can be implemented
this way
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

14
Example of Multilevel Feedback Queue
Three queues:
Q0 – RR with time quantum 8 milliseconds
Q1 – RR time quantum 16 milliseconds
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
Thread Scheduling
Distinction between user-level and kernel-level threads
When threads supported, threads scheduled, not processes
Many-to-one and many-to-many models, thread library schedules user-level
threads to run on LWP
Known as process-contention scope (PCS) since scheduling competition is
within the process
Typically done via priority set by programmer
Kernel thread scheduled onto available CPU is system-contention scope
(SCS) – competition among all threads in system

15
Pthread Scheduling
API allows specifying either PCS or SCS during thread creation
PTHREAD_SCOPE_PROCESS schedules threads using PCS scheduling
PTHREAD_SCOPE_SYSTEM schedules threads using SCS scheduling
Can be limited by OS – Linux and Mac OS X only allow
PTHREAD_SCOPE_SYSTEM
Pthread Scheduling API
#include <pthread.h>
#include <stdio.h>
#define NUM_THREADS 5
int main(int argc, char *argv[]) {
int i, scope;
pthread_t tid[NUM THREADS];
pthread_attr_t attr;
/* get the default attributes */
pthread_attr_init(&attr);
/* first inquire on the current scope */
if (pthread_attr_getscope(&attr, &scope) != 0)
fprintf(stderr, "Unable to get scheduling scopen");
else {
if (scope == PTHREAD_SCOPE_PROCESS)
printf("PTHREAD_SCOPE_PROCESS");
else if (scope == PTHREAD_SCOPE_SYSTEM)
printf("PTHREAD_SCOPE_SYSTEM");
else
fprintf(stderr, "Illegal scope value.n");
}

16
Pthread Scheduling API
/* set the scheduling algorithm to PCS or SCS */
pthread_attr_setscope(&attr, PTHREAD_SCOPE_SYSTEM);
/* create the threads */
for (i = 0; i < NUM_THREADS; i++)
pthread_create(&tid[i],&attr,runner,NULL);
/* now join on each thread */
pthread_join(tid[i], NULL);
}
/* Each thread will begin control in this function */
void *runner(void *param)
{
/* do some work ... */
pthread_exit(0);
}
Multiple-Processor Scheduling
CPU scheduling more complex when multiple CPUs are available
Homogeneous processors within a multiprocessor
Asymmetric multiprocessing – only one processor accesses the system data
structures, alleviating the need for data sharing
Symmetric multiprocessing (SMP) – each processor is self-scheduling, all
processes in common ready queue, or each has its own private queue of ready
processes
Currently, most common
Processor affinity – process has affinity for processor on which it is currently
running
soft affinity
hard affinity
Variations including processor sets

17
NUMA and CPU Scheduling
Note that memory-placement algorithms can also consider affinity
Multiple-Processor Scheduling – Load Balancing
If SMP, need to keep all CPUs loaded for efficiency
Load balancing attempts to keep workload evenly distributed
Push migration – periodic task checks load on each processor, and if found
pushes task from overloaded CPU to other CPUs
Pull migration – idle processors pulls waiting task from busy processor

18
Multicore Processors
Recent trend to place multiple processor cores on same physical chip
Faster and consumes less power
Multiple threads per core also growing
Takes advantage of memory stall to make progress on another thread while
memory retrieve happens
Multithreaded Multicore System

19
Real-Time CPU Scheduling
Can present obvious challenges
Soft real-time systems – no guarantee as to
when critical real-time process will be
scheduled
Hard real-time systems – task must be
serviced by its deadline
Two types of latencies affect performance
1. Interrupt latency – time from arrival of
interrupt to start of routine that services
interrupt
2. Dispatch latency – time for schedule to take
current process off CPU and switch to
another
Real-Time CPU Scheduling (Cont.)
Conflict phase of dispatch latency:
1. Preemption of any process running in
kernel mode
2. Release by low-priority process of
resources needed by high-priority
processes

20
Priority-based Scheduling
For real-time scheduling, scheduler must support preemptive, priority-based
scheduling
But only guarantees soft real-time
For hard real-time must also provide ability to meet deadlines
Processes have new characteristics: periodic ones require CPU at constant
intervals
Has processing time t, deadline d, period p
0 ≤ t ≤ d ≤ p
Rate of periodic task is 1/p
Virtualization and Scheduling
Virtualization software schedules multiple guests onto CPU(s)
Each guest doing its own scheduling
Not knowing it doesn't own the CPUs
Can result in poor response time
Can effect time-of-day clocks in guests
Can undo good scheduling algorithm efforts of guests

21
Rate Montonic Scheduling
A priority is assigned based on the inverse of its period
Shorter periods = higher priority;
Longer periods = lower priority
P1 is assigned a higher priority than P2.
Missed Deadlines with Rate Monotonic Scheduling

22
Earliest Deadline First Scheduling (EDF)
Priorities are assigned according to deadlines:
the earlier the deadline, the higher the priority;
the later the deadline, the lower the priority
Proportional Share Scheduling
T shares are allocated among all processes in the system
An application receives N shares where N < T
This ensures each application will receive N / T of the total processor time

23
POSIX Real-Time Scheduling
n The POSIX.1b standard
n API provides functions for managing real-time threads
n Defines two scheduling classes for real-time threads:
1. SCHED_FIFO - threads are scheduled using a FCFS strategy with a FIFO queue.
There is no time-slicing for threads of equal priority
2. SCHED_RR - similar to SCHED_FIFO except time-slicing occurs for threads of
equal priority
n Defines two functions for getting and setting scheduling policy:
1.pthread_attr_getsched_policy(pthread_attr_t *attr, int
*policy)
2.pthread_attr_setsched_policy(pthread_attr_t *attr, int policy)
POSIX Real-Time Scheduling API
#include <pthread.h>
#include <stdio.h>
#define NUM_THREADS 5
int main(int argc, char *argv[])
{
int i, policy;
pthread_t_tid[NUM_THREADS];
pthread_attr_t attr;
/* get the default attributes */
pthread_attr_init(&attr);
/* get the current scheduling policy */
if (pthread_attr_getschedpolicy(&attr, &policy) != 0)
fprintf(stderr, "Unable to get policy.n");
else {
if (policy == SCHED_OTHER) printf("SCHED_OTHERn");
else if (policy == SCHED_RR) printf("SCHED_RRn");
else if (policy == SCHED_FIFO) printf("SCHED_FIFOn");
}

24
POSIX Real-Time Scheduling API (Cont.)
/* set the scheduling policy - FIFO, RR, or OTHER */
if (pthread_attr_setschedpolicy(&attr, SCHED_FIFO) != 0)
fprintf(stderr, "Unable to set policy.n");
/* create the threads */
pthread_create(&tid[i],&attr,runner,NULL);
/* now join on each thread */
pthread_join(tid[i], NULL);
}
/* Each thread will begin control in this function */
void *runner(void *param)
{
/* do some work ... */
pthread_exit(0);
}
Operating System Examples
Linux scheduling
Windows scheduling
Solaris scheduling

25
Linux Scheduling Through Version 2.5
Prior to kernel version 2.5, ran variation of standard UNIX scheduling algorithm
Version 2.5 moved to 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
Map into global priority with numerically lower values indicating higher priority
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 run-queue data structure
Two priority arrays (active, expired)
Tasks indexed by priority
When no more active, arrays are exchanged
Worked well, but poor response times for interactive processes
Linux Scheduling in Version 2.6.23 +
Completely Fair Scheduler (CFS)
Scheduling classes
Each has specific priority
Scheduler picks highest priority task in highest scheduling class
Rather than quantum based on fixed time allotments, based on proportion of CPU
time
2 scheduling classes included, others can be added
1. default
2. real-time
Quantum calculated based on nice value from -20 to +19
Lower value is higher priority
Calculates target latency – interval of time during which task should run at least once
Target latency can increase if say number of active tasks increases
CFS scheduler maintains per task virtual run time in variable vruntime
Associated with decay factor based on priority of task – lower priority is higher decay
rate
Normal default priority yields virtual run time = actual run time
To decide next task to run, scheduler picks task with lowest virtual run time

26
CFS Performance
Linux Scheduling (Cont.)
Real-time scheduling according to POSIX.1b
Real-time tasks have static priorities
Real-time plus normal map into global priority scheme
Nice value of -20 maps to global priority 100
Nice value of +19 maps to priority 139

27
Windows Scheduling
Windows uses priority-based preemptive scheduling
Highest-priority thread runs next
Dispatcher is scheduler
Thread runs until (1) blocks, (2) uses time slice, (3) preempted by higher-priority
thread
Real-time threads can preempt non-real-time
32-level priority scheme
Variable class is 1-15, real-time class is 16-31
Priority 0 is memory-management thread
Queue for each priority
If no run-able thread, runs idle thread
Windows Priority Classes
Win32 API identifies several priority classes to which a process can belong
REALTIME_PRIORITY_CLASS, HIGH_PRIORITY_CLASS,
ABOVE_NORMAL_PRIORITY_CLASS,NORMAL_PRIORITY_CLASS,
BELOW_NORMAL_PRIORITY_CLASS, IDLE_PRIORITY_CLASS
All are variable except REALTIME
A thread within a given priority class has a relative priority
TIME_CRITICAL, HIGHEST, ABOVE_NORMAL, NORMAL,
BELOW_NORMAL, LOWEST, IDLE
Priority class and relative priority combine to give numeric priority
Base priority is NORMAL within the class
If quantum expires, priority lowered, but never below base

28
Windows Priority Classes (Cont.)
If wait occurs, priority boosted depending on what was waited for
Foreground window given 3x priority boost
Windows 7 added user-mode scheduling (UMS)
Applications create and manage threads independent of kernel
For large number of threads, much more efficient
UMS schedulers come from programming language libraries like C++
Concurrent Runtime (ConcRT) framework
Windows Priorities

29
Solaris
Priority-based scheduling
Six classes available
Time sharing (default) (TS)
Interactive (IA)
Real time (RT)
System (SYS)
Fair Share (FSS)
Fixed priority (FP)
Given thread can be in one class at a time
Each class has its own scheduling algorithm
Time sharing is multi-level feedback queue
Loadable table configurable by sysadmin
Solaris Dispatch Table

30
Solaris Scheduling
Solaris Scheduling (Cont.)
Scheduler converts class-specific priorities into a per-thread global priority
Thread with highest priority runs next
Runs until (1) blocks, (2) uses time slice, (3) preempted by higher-priority
thread
Multiple threads at same priority selected via RR

31
Algorithm Evaluation
How to select CPU-scheduling algorithm for an OS?
Determine criteria, then evaluate algorithms
Deterministic modeling
Type of analytic evaluation
Takes a particular predetermined workload and defines the performance of
each algorithm for that workload
Consider 5 processes arriving at time 0:
Deterministic Evaluation
For each algorithm, calculate minimum average waiting time
Simple and fast, but requires exact numbers for input, applies only to those inputs
FCS is 28ms:
Non-preemptive SFJ is 13ms:
RR is 23ms:

32
Queueing Models
Describes the arrival of processes, and CPU and I/O bursts probabilistically
Commonly exponential, and described by mean
Computes average throughput, utilization, waiting time, etc.
Computer system described as network of servers, each with queue of waiting
processes
Knowing arrival rates and service rates
Computes utilization, average queue length, average wait time, etc.
Little’s Formula
n = average queue length
W = average waiting time in queue
λ = average arrival rate into queue
Little’s law – in steady state, processes leaving queue must equal processes
arriving, thus:
n = λ x W
Valid for any scheduling algorithm and arrival distribution
For example, if on average 7 processes arrive per second, and normally 14
processes in queue, then average wait time per process = 2 seconds

33
Simulations
Queueing models limited
Simulations more accurate
Programmed model of computer system
Clock is a variable
Gather statistics indicating algorithm performance
Data to drive simulation gathered via
Random number generator according to probabilities
Distributions defined mathematically or empirically
Trace tapes record sequences of real events in real systems
Evaluation of CPU Schedulers by Simulation

34
Implementation
Even simulations have limited accuracy
Just implement new scheduler and test in real systems
High cost, high risk
Environments vary
Most flexible schedulers can be modified per-site or per-system
Or APIs to modify priorities
But again environments vary
End of Chapter 6

CH06.pdf

More Related Content

CH06.pdf