SlideShare a Scribd company logo
1 of 30
Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Chapter 5: CPU Scheduling
5.2 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Chapter 5: CPU Scheduling
 Basic Concepts
 Scheduling Criteria
 Scheduling Algorithms
 Thread Scheduling
 Multiple-Processor Scheduling
 Operating Systems Examples
5.3 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Objectives
 To introduce CPU scheduling, which is the basis for multiprogrammed operating
systems
 To describe various CPU-scheduling algorithms
 To discuss evaluation criteria for selecting a CPU-scheduling algorithm for a
particular system
5.4 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
CPU Scheduling
 Operating System manages a collection of processes.
 If a system has more processes and one CPU or More processes with fewer
CPU’s has to divide CPU time among different processes.
 This is called CPU scheduling.
5.5 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Basic Concepts
 Maximum CPU utilization obtained with multiprogramming
 OS can make the computer more productive by switching the CPU
among processes.
 Main objective is some process running at all times
 CPU–I/O Burst Cycle – Process execution consists of a cycle of CPU
execution and I/O wait
 CPU burst distribution
5.6 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Alternating Sequence of CPU and
I/O Bursts
5.7 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
CPU 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 nonpreemptive
 All other scheduling is preemptive
 Preemption means that a process may be forcibly removed from the CPU
even if it does not want to release the CPU.
5.8 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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
5.9 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Different CPU-scheduling algorithms have different
properties, and the choice of a particular algorithm may
favor one class of processes over another. In choosing
which algorithm to use in a particular situation, we must
consider the properties of the various algorithms.
Many criteria have been suggested for comparing CPU-
scheduling algorithms.
Scheduling Criteria
5.10 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Scheduling Criteria
The criteria include the following:
 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.
5.11 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Scheduling Algorithm Optimization Criteria
 Max CPU utilization
 Max throughput
 Min turnaround time
 Min waiting time
 Min response time
5.12 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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
P1 P2 P3
24 27 300
5.13 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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
P1P3P2
63 300
5.14 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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
5.15 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Example of SJF
ProcessArrival 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
P4
P3P1
3 160 9
P2
24
5.16 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Example of Shortest-remaining-time-first
 Now we add the concepts of varying arrival times and preemption to the analysis
ProcessA arri Arrival TimeT Burst 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
P1
P1P2
1 170 10
P3
265
P4
5.17 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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 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
5.18 Silberschatz, Galvin and Gagne ©2009Operating 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
P5 5 2
 Priority scheduling Gantt Chart
 Average waiting time = 8.2 msec
P2 P3P5
1 180 16
P4
196
P1
5.19 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Example of Priority Scheduling
5.20 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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
5.21 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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 us sec
P1 P2 P3 P1 P1 P1 P1 P1
0 4 7 10 14 18 22 26 30
5.22 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Time Quantum and Context Switch Time
5.23 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Turnaround Time Varies With
The Time Quantum
80% of CPU bursts should
be shorter than q
5.24 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Multilevel Queue
 Ready queue is partitioned into separate queues, eg:
 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
5.25 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Multilevel Queue Scheduling
5.26 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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
5.27 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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
5.28 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
Multilevel Feedback Queues
5.29 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
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. Other executing user code.
 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. Most systems try to avoid migration of processes from one processor
to another and instead attempt to keep a process running on the same
processor.
 soft affinity
 hard affinity it is possible for a process to migrate between processors.
5.30 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition
NUMA and CPU Scheduling
non-uniform memory access

More Related Content

What's hot

Page replacement algorithms
Page replacement algorithmsPage replacement algorithms
Page replacement algorithms
Piyush Rochwani
 
First-Come-First-Serve (FCFS)
First-Come-First-Serve (FCFS)First-Come-First-Serve (FCFS)
First-Come-First-Serve (FCFS)
nikeAthena
 

What's hot (20)

CPU Scheduling Algorithms
CPU Scheduling AlgorithmsCPU Scheduling Algorithms
CPU Scheduling Algorithms
 
Operating Systems Process Scheduling Algorithms
Operating Systems   Process Scheduling AlgorithmsOperating Systems   Process Scheduling Algorithms
Operating Systems Process Scheduling Algorithms
 
SCHEDULING ALGORITHMS
SCHEDULING ALGORITHMSSCHEDULING ALGORITHMS
SCHEDULING ALGORITHMS
 
Operating System-Process Scheduling
Operating System-Process SchedulingOperating System-Process Scheduling
Operating System-Process Scheduling
 
OS - Process Concepts
OS - Process ConceptsOS - Process Concepts
OS - Process Concepts
 
Round robin scheduling
Round robin schedulingRound robin scheduling
Round robin scheduling
 
Process synchronization in Operating Systems
Process synchronization in Operating SystemsProcess synchronization in Operating Systems
Process synchronization in Operating Systems
 
Paging and segmentation
Paging and segmentationPaging and segmentation
Paging and segmentation
 
Operating Systems: Process Scheduling
Operating Systems: Process SchedulingOperating Systems: Process Scheduling
Operating Systems: Process Scheduling
 
Page replacement algorithms
Page replacement algorithmsPage replacement algorithms
Page replacement algorithms
 
Memory Management in OS
Memory Management in OSMemory Management in OS
Memory Management in OS
 
Memory Management in OS
Memory Management in OSMemory Management in OS
Memory Management in OS
 
First-Come-First-Serve (FCFS)
First-Come-First-Serve (FCFS)First-Come-First-Serve (FCFS)
First-Come-First-Serve (FCFS)
 
Distributed Operating System_1
Distributed Operating System_1Distributed Operating System_1
Distributed Operating System_1
 
Computer system architecture
Computer system architectureComputer system architecture
Computer system architecture
 
DeadLock in Operating-Systems
DeadLock in Operating-SystemsDeadLock in Operating-Systems
DeadLock in Operating-Systems
 
Os Threads
Os ThreadsOs Threads
Os Threads
 
Distributed operating system
Distributed operating systemDistributed operating system
Distributed operating system
 
Shortest job first Scheduling (SJF)
Shortest job first Scheduling (SJF)Shortest job first Scheduling (SJF)
Shortest job first Scheduling (SJF)
 
Os Swapping, Paging, Segmentation and Virtual Memory
Os Swapping, Paging, Segmentation and Virtual MemoryOs Swapping, Paging, Segmentation and Virtual Memory
Os Swapping, Paging, Segmentation and Virtual Memory
 

Viewers also liked

OS - CPU Scheduling
OS - CPU SchedulingOS - CPU Scheduling
OS - CPU Scheduling
vinay arora
 

Viewers also liked (20)

OS - CPU Scheduling
OS - CPU SchedulingOS - CPU Scheduling
OS - CPU Scheduling
 
Process Scheduling
Process SchedulingProcess Scheduling
Process Scheduling
 
Cpu Scheduling Galvin
Cpu Scheduling GalvinCpu Scheduling Galvin
Cpu Scheduling Galvin
 
5 Process Scheduling
5 Process Scheduling5 Process Scheduling
5 Process Scheduling
 
CPU scheduling algorithms in OS
CPU scheduling algorithms in OSCPU scheduling algorithms in OS
CPU scheduling algorithms in OS
 
Differnce of two processors
Differnce of two processorsDiffernce of two processors
Differnce of two processors
 
Scheduling Algorithms
Scheduling AlgorithmsScheduling Algorithms
Scheduling Algorithms
 
Scheduling
SchedulingScheduling
Scheduling
 
Process scheduling
Process schedulingProcess scheduling
Process scheduling
 
Chapter 3: Processes
Chapter 3: ProcessesChapter 3: Processes
Chapter 3: Processes
 
Chapter 2: Operating System Structures
Chapter 2: Operating System StructuresChapter 2: Operating System Structures
Chapter 2: Operating System Structures
 
Fcfs Cpu Scheduling With Gantt Chart
Fcfs Cpu Scheduling With Gantt ChartFcfs Cpu Scheduling With Gantt Chart
Fcfs Cpu Scheduling With Gantt Chart
 
Operating Systems 1 (10/12) - Scheduling
Operating Systems 1 (10/12) - SchedulingOperating Systems 1 (10/12) - Scheduling
Operating Systems 1 (10/12) - Scheduling
 
First Come First Serve
First Come First ServeFirst Come First Serve
First Come First Serve
 
Operating System Concepts
Operating System ConceptsOperating System Concepts
Operating System Concepts
 
Threads 2x[1]
Threads 2x[1]Threads 2x[1]
Threads 2x[1]
 
Template 1 ch5
Template 1 ch5Template 1 ch5
Template 1 ch5
 
Template 1 ch3
Template 1 ch3Template 1 ch3
Template 1 ch3
 
Time response analysis of system
Time response analysis of systemTime response analysis of system
Time response analysis of system
 
Ch8 of OS
Ch8 of OSCh8 of OS
Ch8 of OS
 

Similar to cpu scheduling

Similar to cpu scheduling (20)

Operating System - CPU Scheduling Introduction
Operating System - CPU Scheduling IntroductionOperating System - CPU Scheduling Introduction
Operating System - CPU Scheduling Introduction
 
CPU scheduling ppt file
CPU scheduling ppt fileCPU scheduling ppt file
CPU scheduling ppt file
 
Ch5 cpu-scheduling
Ch5 cpu-schedulingCh5 cpu-scheduling
Ch5 cpu-scheduling
 
6 cpu scheduling
6 cpu scheduling6 cpu scheduling
6 cpu scheduling
 
ch6.ppt
ch6.pptch6.ppt
ch6.ppt
 
ch6.ppt
ch6.pptch6.ppt
ch6.ppt
 
scheduling.ppt
scheduling.pptscheduling.ppt
scheduling.ppt
 
ch6.ppt
ch6.pptch6.ppt
ch6.ppt
 
ch6.ppt
ch6.pptch6.ppt
ch6.ppt
 
ch6 (2).ppt operating system by williamm
ch6 (2).ppt operating system by williammch6 (2).ppt operating system by williamm
ch6 (2).ppt operating system by williamm
 
Various CPU Scheduling Algorithms in OS.ppt
Various CPU Scheduling Algorithms in OS.pptVarious CPU Scheduling Algorithms in OS.ppt
Various CPU Scheduling Algorithms in OS.ppt
 
cpu sheduling.pdf
cpu sheduling.pdfcpu sheduling.pdf
cpu sheduling.pdf
 
OS-CPU-Scheduling-chap5.pptx
OS-CPU-Scheduling-chap5.pptxOS-CPU-Scheduling-chap5.pptx
OS-CPU-Scheduling-chap5.pptx
 
Operating systems chapter 5 silberschatz
Operating systems chapter 5 silberschatzOperating systems chapter 5 silberschatz
Operating systems chapter 5 silberschatz
 
cloud computing chapter one in computer science
cloud computing chapter one in computer sciencecloud computing chapter one in computer science
cloud computing chapter one in computer science
 
CPU Scheduling
CPU SchedulingCPU Scheduling
CPU Scheduling
 
Cpu scheduling (1)
Cpu scheduling (1)Cpu scheduling (1)
Cpu scheduling (1)
 
5.CPU Scheduling
5.CPU Scheduling5.CPU Scheduling
5.CPU Scheduling
 
ch5_EN_CPUSched_2022.pdf
ch5_EN_CPUSched_2022.pdfch5_EN_CPUSched_2022.pdf
ch5_EN_CPUSched_2022.pdf
 
Process scheduling : operating system ( Btech cse )
Process scheduling : operating system ( Btech cse )Process scheduling : operating system ( Btech cse )
Process scheduling : operating system ( Btech cse )
 

More from hashim102 (10)

Web layers
Web layersWeb layers
Web layers
 
Holography
HolographyHolography
Holography
 
Polymorphism
PolymorphismPolymorphism
Polymorphism
 
Bad news
Bad newsBad news
Bad news
 
Politicial instability in bloachistan
Politicial instability in bloachistanPoliticial instability in bloachistan
Politicial instability in bloachistan
 
Writing skills
Writing skillsWriting skills
Writing skills
 
Reading skills
Reading skillsReading skills
Reading skills
 
Gpu
GpuGpu
Gpu
 
introduction to Web system
introduction to Web systemintroduction to Web system
introduction to Web system
 
data structure
data structuredata structure
data structure
 

Recently uploaded

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

Recently uploaded (20)

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 

cpu scheduling

  • 1. Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Chapter 5: CPU Scheduling
  • 2. 5.2 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Chapter 5: CPU Scheduling  Basic Concepts  Scheduling Criteria  Scheduling Algorithms  Thread Scheduling  Multiple-Processor Scheduling  Operating Systems Examples
  • 3. 5.3 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Objectives  To introduce CPU scheduling, which is the basis for multiprogrammed operating systems  To describe various CPU-scheduling algorithms  To discuss evaluation criteria for selecting a CPU-scheduling algorithm for a particular system
  • 4. 5.4 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition CPU Scheduling  Operating System manages a collection of processes.  If a system has more processes and one CPU or More processes with fewer CPU’s has to divide CPU time among different processes.  This is called CPU scheduling.
  • 5. 5.5 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Basic Concepts  Maximum CPU utilization obtained with multiprogramming  OS can make the computer more productive by switching the CPU among processes.  Main objective is some process running at all times  CPU–I/O Burst Cycle – Process execution consists of a cycle of CPU execution and I/O wait  CPU burst distribution
  • 6. 5.6 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Alternating Sequence of CPU and I/O Bursts
  • 7. 5.7 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition CPU 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 nonpreemptive  All other scheduling is preemptive  Preemption means that a process may be forcibly removed from the CPU even if it does not want to release the CPU.
  • 8. 5.8 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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
  • 9. 5.9 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Different CPU-scheduling algorithms have different properties, and the choice of a particular algorithm may favor one class of processes over another. In choosing which algorithm to use in a particular situation, we must consider the properties of the various algorithms. Many criteria have been suggested for comparing CPU- scheduling algorithms. Scheduling Criteria
  • 10. 5.10 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Scheduling Criteria The criteria include the following:  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.
  • 11. 5.11 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Scheduling Algorithm Optimization Criteria  Max CPU utilization  Max throughput  Min turnaround time  Min waiting time  Min response time
  • 12. 5.12 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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 P1 P2 P3 24 27 300
  • 13. 5.13 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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 P1P3P2 63 300
  • 14. 5.14 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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
  • 15. 5.15 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Example of SJF ProcessArrival 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 P4 P3P1 3 160 9 P2 24
  • 16. 5.16 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Example of Shortest-remaining-time-first  Now we add the concepts of varying arrival times and preemption to the analysis ProcessA arri Arrival TimeT Burst 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 P1 P1P2 1 170 10 P3 265 P4
  • 17. 5.17 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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 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
  • 18. 5.18 Silberschatz, Galvin and Gagne ©2009Operating 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 P5 5 2  Priority scheduling Gantt Chart  Average waiting time = 8.2 msec P2 P3P5 1 180 16 P4 196 P1
  • 19. 5.19 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Example of Priority Scheduling
  • 20. 5.20 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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
  • 21. 5.21 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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 us sec P1 P2 P3 P1 P1 P1 P1 P1 0 4 7 10 14 18 22 26 30
  • 22. 5.22 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Time Quantum and Context Switch Time
  • 23. 5.23 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Turnaround Time Varies With The Time Quantum 80% of CPU bursts should be shorter than q
  • 24. 5.24 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Multilevel Queue  Ready queue is partitioned into separate queues, eg:  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
  • 25. 5.25 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Multilevel Queue Scheduling
  • 26. 5.26 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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
  • 27. 5.27 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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
  • 28. 5.28 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition Multilevel Feedback Queues
  • 29. 5.29 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition 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. Other executing user code.  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. Most systems try to avoid migration of processes from one processor to another and instead attempt to keep a process running on the same processor.  soft affinity  hard affinity it is possible for a process to migrate between processors.
  • 30. 5.30 Silberschatz, Galvin and Gagne ©2009Operating System Concepts – 8th Edition NUMA and CPU Scheduling non-uniform memory access