ch5_CPU Scheduling_part1.pdf

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

Histogram of CPU-burst Times
Large number of short bursts
Small number of longer bursts

CPU Scheduler
• The CPU scheduler selects from among the
processes in ready queue, and allocates a CPU
core 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

Preemptive and Nonpreemptive Scheduling
• When scheduling takes place only under
circumstances 1 and 4, the scheduling scheme
is nonpreemptive.
• Otherwise, it is preemptive.
• Under Nonpreemptive scheduling, once the
CPU has been allocated to a process, the
process keeps the CPU until it releases it either
by terminating or by switching to the waiting
state.
• Virtually all modern operating systems including
Windows, MacOS, Linux, and UNIX use
preemptive scheduling algorithms.

Preemptive Scheduling and Race Conditions
• Preemptive scheduling can result in race
conditions when data are shared among
several processes.
• Consider the case of two processes that
share data. While one process is updating
the data, it is preempted so that the second
process can run. The second process then
tries to read the data, which are in an
inconsistent state.
• This issue will be explored in detail in
Chapter 6.

Dispatcher
• Dispatcher module gives control
of the CPU to the process
selected by the CPU 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.

SchedulingAlgorithm 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
P P P
1 2 3
0 24 30
27

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
P1
0 3 6 30
P2
P3

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
• Preemptive version called shortest-
remaining-time-first
• How do we determine the length of the next
CPU burst?
• Could ask the user
• Estimate

Example of SJF
Process Burst Time
P1 6
P2 8
P3 7
P4 3
• SJF scheduling chart
• Average waiting time =
(3 + 16 + 9 + 0) / 4 = 7
P3
0 3 24
P4
P1
16
9
P2

Example of SJF
• Nonpreemptive policy

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

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 successor predecessor term has less weight
than its predecessor

Exponential Averaging
• A common technique for predicting a future value on the
basis of a time series of past values is exponential
averaging
• Given  =0.8,

Shortest Remaining Time First Scheduling
• Preemptive version of SJN
• Whenever a new process arrives in the ready
queue, the decision on which process to
schedule next is redone using the SJN
algorithm.
• Is SRT more “optimal” than SJN in terms of the
minimum average waiting time for a given set
of processes?

Example of Shortest-remaining-time-first
• Now we add the concepts of varying arrival times and
preemption to the analysis
Process i 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
P4
0 1 26
P1
P2
10
P3
P1
5 17

Example of Shortest-remaining-time-first

ch5_CPU Scheduling_part1.pdf

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