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Real Time Operating Systems for
Networked Embedded Systems
Subhashis Banerjee
Indian Institute of Technology
Delhi
suban@cse.iitd.ac.in
With: Soumyadeb Mitra, Nitin Rajput, M.Balakrishnan
Fire alarm system: an example
Sensors: microcontroller based
Controllers: ARM based
Central server
Low bandwidth radio links
TCP/IP over radio
Fire Alarm System
Problem
 Hundreds of sensors, each fitted with Low Range
Wireless
 Sensor information to be logged in a server &
appropriate action initiated
Possible Solution
 Collaborative Action
 Routing
 Dynamic – Sensors/controllers may go down
 Auto Configurable – No/easy human intervention.
 Less Collision/Link Clogging
 Less no of intermediate nodes
 Fast Response Time
 Secure
RTOS: Target Architectures
Processors MIPS
Microcontrollers ~20
ARM7 100-133
ARM9 180-250
Strong ARM 206
Intel Xscale 400
Mips4Kcore 400
X86
Presentation Outline
Definitions
Role of an OS in Real Time Systems
Features of Real Time Operating Systems
 Scheduling
 Resource Allocation
 Interrupt Handling
 Other Issues
Linux for Real Time Systems and RTLinux
rtker – Our own RTOS
Other RTOS’s
Real Time System
A system is said to be Real Time if it is
required to complete it’s work & deliver
it’s services on time.
Example – Flight Control System
 All tasks in that system must execute on
time.
Non Example – PC system
Hard and Soft Real Time Systems
Hard Real Time System
 Failure to meet deadlines is fatal
 example : Flight Control System
Soft Real Time System
 Late completion of jobs is undesirable but not
fatal.
 System performance degrades as more & more
jobs miss deadlines
 Online Databases
Qualitative Definition.
Hard and Soft Real Time Systems
(Operational Definition)
Hard Real Time System
 Validation by provably correct procedures or
extensive simulation that the system always meets
the timings constraints
Soft Real Time System
 Demonstration of jobs meeting some statistical
constraints suffices.
Example – Multimedia System
 25 frames per second on an average
Role of an OS in Real Time Systems
Standalone Applications
 Often no OS involved
 Micro controller based Embedded Systems
Some Real Time Applications are huge &
complex
 Multiple threads
 Complicated Synchronization Requirements
 Filesystem / Network / Windowing support
 OS primitives reduce the software design time
Features of RTOS’s
Scheduling.
Resource Allocation.
Interrupt Handling.
Other issues like kernel size.
Scheduling in RTOS
More information about the tasks are known
 No of tasks
 Resource Requirements
 Release Time
 Execution time
 Deadlines
Being a more deterministic system better
scheduling algorithms can be devised.
Scheduling Algorithms in RTOS
Clock Driven Scheduling
Weighted Round Robin Scheduling
Priority Scheduling
(Greedy / List / Event Driven)
Scheduling Algorithms in RTOS (contd)
Clock Driven
 All parameters about jobs (release time/
execution time/deadline) known in
advance.
 Schedule can be computed offline or at
some regular time instances.
 Minimal runtime overhead.
 Not suitable for many applications.
Scheduling Algorithms in RTOS (contd)
Weighted Round Robin
 Jobs scheduled in FIFO manner
 Time quantum given to jobs is proportional to it’s
weight
 Example use : High speed switching network
 QOS guarantee.
 Not suitable for precedence constrained jobs.
 Job A can run only after Job B. No point in giving time
quantum to Job B before Job A.
Scheduling Algorithms in RTOS (contd)
Priority Scheduling
(Greedy/List/Event Driven)
 Processor never left idle when there are
ready tasks
 Processor allocated to processes according
to priorities
 Priorities
 static - at design time
 Dynamic - at runtime
Priority Scheduling
Earliest Deadline First (EDF)
 Process with earliest deadline given highest
priority
Least Slack Time First (LSF)
 slack = relative deadline – execution left
Rate Monotonic Scheduling (RMS)
 For periodic tasks
 Tasks priority inversely proportional to it’s period
Resource Allocation in RTOS
Resource Allocation
 The issues with scheduling applicable here.
 Resources can be allocated in
 Weighted Round Robin
 Priority Based
Some resources are non preemptible
 Example : semaphores
Priority Inversion if priority scheduling is used
Priority Inversion
Solutions to Priority Inversion
Non Blocking Critical Section
 Higher priority Thread may get blocked by
unrelated low priority thread
Priority Ceiling
 Each resource has an assigned priority
 Priority of thread is the highest of all priorities of
the resources it’s holding
Priority Inheritance
 The thread holding a resource inherits the priority
of the thread blocked on that resource
Other RTOS issues
Interrupt Latency should be very small
 Kernel has to respond to real time events
 Interrupts should be disabled for minimum
possible time
For embedded applications Kernel Size should
be small
 Should fit in ROM
Sophisticated features can be removed
 No Virtual Memory
 No Protection
Linux for Real Time Applications
Scheduling
 Priority Driven Approach
 Optimize average case response time
 Interactive Processes Given Highest Priority
 Aim to reduce response times of processes
 Real Time Processes
 Processes with high priority
 No notion of deadlines
Resource Allocation
 No support for handling priority inversion
Interrupt Handling in Linux
Interrupts are disabled in ISR/critical
sections of the kernel
No worst case bound on interrupt
latency avaliable
 eg: Disk Drivers may disable interrupt for
few hundred milliseconds
Not suitable for Real Time Applications
 Interrupts may be missed
Other Problems with Linux
Processes are non preemtible in Kernel
Mode
 System calls like fork take a lot of time
 High priority thread might wait for a low
priority thread to complete it’s system call
Processes are heavy weight
 Context switch takes several hundred
microseconds
Why Linux
Coexistence of Real Time Applications
with non Real Time Ones
 Example http server
Device Driver Base
Stability
RTLinux
Real Time Kernel at the lowest level
Linux Kernel is a low priority thread
 Executed only when no real time tasks
Interrupts trapped by the Real Time
Kernel and passed onto Linux Kernel
 Software emulation to hardware interrupts
 Interrupts are queued by RTLinux
 Software emulation to disable_interrupt()
RTLinux (contd)
Real Time Tasks
 Statically allocate memory
 No address space protection
Non Real Time Tasks are developed in
Linux
Communication
 Queues
 Shared memory
RTLinux Framework
rtker – Our RTOS
Motivation
 Our own OS
 Full grasp over source code – Easily modifiable, portable
Features
 Modular Design
 Isolation of Architecture/CPU dependent and
independent code – Easy to Port
 Pluggable Scheduler
 Two level Interrupt Handling
 Small footprint
 Oskit’s Device Driver Framework
Pluggable Scheduler
Scheduler - part of the Application
Kernel interacts with the scheduler
through an API
Application developer needs to
implement the scheduler API
 Can optimize on Data Structures &
Algorithms for implementing the scheduler
rtker – Block Diagram
Two Level Interrupt Handling
Two level Interrupt Handling
 Top Half Interrupt Handler
 Called Immediately – Kernel never disables interrupts
 Cannot invoke thread library functions - Race Conditions
 Bottom Half Interrupt Handler
 Invoked when kernel not in Critical Section
 Can invoke thread library functions
Very Low Response time (as compared to
Linux)
Two Level Interrupt Handling
Other Features
Footprint
 Small footprint (~50kb)
Oskit’s Device Driver Framework
 Allows direct porting of existing drivers
from Linux.
 Example – Ethernet Driver of Linux
Other RTOS’s
LynxOS
 Microkernel Architecture
 Kernel provides scheduling/interrupt handling
 Additional features through Kernel Plug Ins(KPIs)
 TCP/IP stack , Filesystem
 KPI’s are multithreaded
 Memory Protection/ Demand Paging Optional
 Development and Deployment on the same host
 OS support for compilers/debuggers
Other RTOS’s (contd)
VxWorks
 Monolithic Architecture
 Real Time Posix compliant
 Cross development System
pSOS
 Object Oriented OS
Peripheral devices and protocols
• Interfacing
Serial/parallel ports, USB, I2C, PCMCIA, IDE
• Communication
Serial, Ethernet, Low bandwidth radio, IrDA,
802.11b based devices
• User Interface
LCD, Keyboard, Touch sensors, Sound, Digital
pads, Webcams
• Sensors
A variety of sensors using fire, temperature,
pressure, water level, seismic, sound, vision

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  • 1. Real Time Operating Systems for Networked Embedded Systems Subhashis Banerjee Indian Institute of Technology Delhi suban@cse.iitd.ac.in With: Soumyadeb Mitra, Nitin Rajput, M.Balakrishnan
  • 2. Fire alarm system: an example Sensors: microcontroller based Controllers: ARM based Central server Low bandwidth radio links TCP/IP over radio
  • 3. Fire Alarm System Problem  Hundreds of sensors, each fitted with Low Range Wireless  Sensor information to be logged in a server & appropriate action initiated Possible Solution  Collaborative Action  Routing  Dynamic – Sensors/controllers may go down  Auto Configurable – No/easy human intervention.  Less Collision/Link Clogging  Less no of intermediate nodes  Fast Response Time  Secure
  • 4. RTOS: Target Architectures Processors MIPS Microcontrollers ~20 ARM7 100-133 ARM9 180-250 Strong ARM 206 Intel Xscale 400 Mips4Kcore 400 X86
  • 5. Presentation Outline Definitions Role of an OS in Real Time Systems Features of Real Time Operating Systems  Scheduling  Resource Allocation  Interrupt Handling  Other Issues Linux for Real Time Systems and RTLinux rtker – Our own RTOS Other RTOS’s
  • 6. Real Time System A system is said to be Real Time if it is required to complete it’s work & deliver it’s services on time. Example – Flight Control System  All tasks in that system must execute on time. Non Example – PC system
  • 7. Hard and Soft Real Time Systems Hard Real Time System  Failure to meet deadlines is fatal  example : Flight Control System Soft Real Time System  Late completion of jobs is undesirable but not fatal.  System performance degrades as more & more jobs miss deadlines  Online Databases Qualitative Definition.
  • 8. Hard and Soft Real Time Systems (Operational Definition) Hard Real Time System  Validation by provably correct procedures or extensive simulation that the system always meets the timings constraints Soft Real Time System  Demonstration of jobs meeting some statistical constraints suffices. Example – Multimedia System  25 frames per second on an average
  • 9. Role of an OS in Real Time Systems Standalone Applications  Often no OS involved  Micro controller based Embedded Systems Some Real Time Applications are huge & complex  Multiple threads  Complicated Synchronization Requirements  Filesystem / Network / Windowing support  OS primitives reduce the software design time
  • 10. Features of RTOS’s Scheduling. Resource Allocation. Interrupt Handling. Other issues like kernel size.
  • 11. Scheduling in RTOS More information about the tasks are known  No of tasks  Resource Requirements  Release Time  Execution time  Deadlines Being a more deterministic system better scheduling algorithms can be devised.
  • 12. Scheduling Algorithms in RTOS Clock Driven Scheduling Weighted Round Robin Scheduling Priority Scheduling (Greedy / List / Event Driven)
  • 13. Scheduling Algorithms in RTOS (contd) Clock Driven  All parameters about jobs (release time/ execution time/deadline) known in advance.  Schedule can be computed offline or at some regular time instances.  Minimal runtime overhead.  Not suitable for many applications.
  • 14. Scheduling Algorithms in RTOS (contd) Weighted Round Robin  Jobs scheduled in FIFO manner  Time quantum given to jobs is proportional to it’s weight  Example use : High speed switching network  QOS guarantee.  Not suitable for precedence constrained jobs.  Job A can run only after Job B. No point in giving time quantum to Job B before Job A.
  • 15. Scheduling Algorithms in RTOS (contd) Priority Scheduling (Greedy/List/Event Driven)  Processor never left idle when there are ready tasks  Processor allocated to processes according to priorities  Priorities  static - at design time  Dynamic - at runtime
  • 16. Priority Scheduling Earliest Deadline First (EDF)  Process with earliest deadline given highest priority Least Slack Time First (LSF)  slack = relative deadline – execution left Rate Monotonic Scheduling (RMS)  For periodic tasks  Tasks priority inversely proportional to it’s period
  • 17. Resource Allocation in RTOS Resource Allocation  The issues with scheduling applicable here.  Resources can be allocated in  Weighted Round Robin  Priority Based Some resources are non preemptible  Example : semaphores Priority Inversion if priority scheduling is used
  • 19. Solutions to Priority Inversion Non Blocking Critical Section  Higher priority Thread may get blocked by unrelated low priority thread Priority Ceiling  Each resource has an assigned priority  Priority of thread is the highest of all priorities of the resources it’s holding Priority Inheritance  The thread holding a resource inherits the priority of the thread blocked on that resource
  • 20. Other RTOS issues Interrupt Latency should be very small  Kernel has to respond to real time events  Interrupts should be disabled for minimum possible time For embedded applications Kernel Size should be small  Should fit in ROM Sophisticated features can be removed  No Virtual Memory  No Protection
  • 21. Linux for Real Time Applications Scheduling  Priority Driven Approach  Optimize average case response time  Interactive Processes Given Highest Priority  Aim to reduce response times of processes  Real Time Processes  Processes with high priority  No notion of deadlines Resource Allocation  No support for handling priority inversion
  • 22. Interrupt Handling in Linux Interrupts are disabled in ISR/critical sections of the kernel No worst case bound on interrupt latency avaliable  eg: Disk Drivers may disable interrupt for few hundred milliseconds Not suitable for Real Time Applications  Interrupts may be missed
  • 23. Other Problems with Linux Processes are non preemtible in Kernel Mode  System calls like fork take a lot of time  High priority thread might wait for a low priority thread to complete it’s system call Processes are heavy weight  Context switch takes several hundred microseconds
  • 24. Why Linux Coexistence of Real Time Applications with non Real Time Ones  Example http server Device Driver Base Stability
  • 25. RTLinux Real Time Kernel at the lowest level Linux Kernel is a low priority thread  Executed only when no real time tasks Interrupts trapped by the Real Time Kernel and passed onto Linux Kernel  Software emulation to hardware interrupts  Interrupts are queued by RTLinux  Software emulation to disable_interrupt()
  • 26. RTLinux (contd) Real Time Tasks  Statically allocate memory  No address space protection Non Real Time Tasks are developed in Linux Communication  Queues  Shared memory
  • 28. rtker – Our RTOS Motivation  Our own OS  Full grasp over source code – Easily modifiable, portable Features  Modular Design  Isolation of Architecture/CPU dependent and independent code – Easy to Port  Pluggable Scheduler  Two level Interrupt Handling  Small footprint  Oskit’s Device Driver Framework
  • 29. Pluggable Scheduler Scheduler - part of the Application Kernel interacts with the scheduler through an API Application developer needs to implement the scheduler API  Can optimize on Data Structures & Algorithms for implementing the scheduler
  • 30. rtker – Block Diagram
  • 31. Two Level Interrupt Handling Two level Interrupt Handling  Top Half Interrupt Handler  Called Immediately – Kernel never disables interrupts  Cannot invoke thread library functions - Race Conditions  Bottom Half Interrupt Handler  Invoked when kernel not in Critical Section  Can invoke thread library functions Very Low Response time (as compared to Linux)
  • 33.
  • 34. Other Features Footprint  Small footprint (~50kb) Oskit’s Device Driver Framework  Allows direct porting of existing drivers from Linux.  Example – Ethernet Driver of Linux
  • 35. Other RTOS’s LynxOS  Microkernel Architecture  Kernel provides scheduling/interrupt handling  Additional features through Kernel Plug Ins(KPIs)  TCP/IP stack , Filesystem  KPI’s are multithreaded  Memory Protection/ Demand Paging Optional  Development and Deployment on the same host  OS support for compilers/debuggers
  • 36. Other RTOS’s (contd) VxWorks  Monolithic Architecture  Real Time Posix compliant  Cross development System pSOS  Object Oriented OS
  • 37. Peripheral devices and protocols • Interfacing Serial/parallel ports, USB, I2C, PCMCIA, IDE • Communication Serial, Ethernet, Low bandwidth radio, IrDA, 802.11b based devices • User Interface LCD, Keyboard, Touch sensors, Sound, Digital pads, Webcams • Sensors A variety of sensors using fire, temperature, pressure, water level, seismic, sound, vision