Transcript ppt
RTX - RTOS
MS_uC / fue1 / V01
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Programming Microcontroller
RTX - Real Time Operating System - RTOS
Autumn term 2012
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Tasks of the Operating System (1/3)
Key tasks of the OS (Kernel)
Additional general tasks (OS)
External general tasks (Utilities)
Image processing
Utilities
OS
Kernel
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Tasks of the OS (2/3)
Kernel
Resource Management
Attribution of CPU time
Task-, Process- or (Thread-) management
Memory Management
Peripheral Devices
Time of the Day and Date
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Tasks of the OS (3/3)
Additional general tasks (OS)
I/O management (Driver)
File management
Interrupt treatments
Processing "Power-up", "Power-down", "Shut-up", "Shut-down"…
Troubleshooting
External general tasks (Utilities)
Image processing
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RTOS: Basic themes
Real time
Multitasking res. multiprogramming
Scheduling
Tasks, Threads and Processes
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Real Time (RT) computer
RT computer works synchronously to the rhythm of the technical
process
It responds on time to its needs
It takes measures on times
Real time processor
Process image
Control algorithm
Output
data
Input
data
Control
Process
variables characteristics
Process
parameter
Metrics
Events
Discrete
events
Technical
process
Process
input
Process
output
Interference
Retroactivity
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Multitasking res. multiprogramming
Multitasking OS allows the programming with temporally
independent parallel units
Simulation of mutually independent, quasi-parallel operating
processors
Example
Priority
I/O
Job A
Job B
t
t1
t2
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Multitasking res. multiprogramming
Multiple tasks can run simultaneously on one computer
A task can be started before the other tasks have been completed
Example: Windows7
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Tasks, threads and processes
A task is a ideal program unit with a time response
The code for a specific task is defined once
Many task can be generated and started from this definition
Tasks can run concurrently
Task can be started while another is still working
Depending on the OS, Task are always known and existing
They can be started or terminated
They can communicate with each other
Quasi-parallelism is realized by switching from one to another task
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State of a task
The task states are managed with FIFO
Each task state contains its own FIFO
Blocked
Not Existing
ReadyTo-Run
Running
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Description of the task states
Not-Existing
Does not exist in OS, which contain only active tasks
Running
Task, which is currently executed by the CPU
Ready-To-Run
All the conditions, which are needed to run the task are, are realized
CPU is currently occupied with the execution of another task
Blocked
Task is waiting because of synchronization tools
Semaphore, Event-flags, Suspend/Resume etc.
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Scheduling
Scheduling is the process, which attributes CPU time to the
threads, processes or task
Non preemptive Scheduling
Task exchanges are only realized at given points
Task must systematically give back CPU time
Preemptive scheduling
Preemptive means interruption
Task can loose CPU time at any point during its execution
Can be realized only with “Interrupt-Response-Program”
Clock tics
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Round Robin Scheduling
Each task becomes a certain number of CPU time quanta
Task will be stopped, if it is not finished after this amount of time
If the task is finished before, it will be interrupted immediately
The active task are managed with a list
A
G
B
C
E
When the task A is interrupted, it will be put at the end of the list
G
B
C
E
A
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Priority Scheduling
All the task have the same priority
All the task have predefined priorities
The priority for each task must be unique
Several tasks can have the same priority
Os Algorithm manage their precedence (Round Robin)
The priority is set explicitly or implicitly at task start and will be
changed explicitly later
The priority remains the same during all the existence of the task
(static)
Priority are changed dynamically by the scheduler
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Definition and starting of a task
within Keil
Definition of the task code
__task void task_name (void) {
/* Initialization of the task resources */
…
while(1) {
/* Execution of the task algorithms */
…
}
}
Create and start the task
int main (void) {
…
/* 2 variants to create and start the task */
os_tsk_create (task_name, prio);
os_tsk_create_user (task_name, prio, \
task_stack, sizeof(task_stack));
…
}
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Classical problems of the parallel
data processing
Introduction example : Digital Voltmeter (DVM)
A/D conversion time: 75 ms
LCD must be “refreshed” after 50 ms
The multitasking enables to enhance the design and the program
speed
Solution for the screen flickering
Acquisition
Task
Display
Task
Data store
Voltage
A/D
Microprocessor
Display (LCD)
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Code example
Acquisition Task
while (1) {
Wait until A/D ready
Read A/D
Process measurements
for (all digits) {
Store digit
} // end for
} // end while
Display Task
while (1) {
Wait until LCD needs refresh
for (all digits) {
Fetch digit from store
Display digit on LCD
} // end for
} // end while
Problem of this solution
“Acquisition” and “Display” tasks can access to the data simultaneously
Sometimes wrong values will be displayed
Program must guaranty the mutual exclusion
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Mutual Exclusion (MUTEX)
2 train must bypass trough a critical section (Tunnel)
Only one train is authorized to go through the tunnel at the given
moment
Both locomotive drivers are blind and deaf
The can only deposit or retire a stone in a bowl
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First solution
Procedure for the locomotive conductors
#define EMPTY 0
#define OCCUPIED 1
int bowl; // semaphore
while (bowl == OCCUPIED) {
/*make Siesta*/
}
//search a stone
bowl = OCCUPIED ;
// drive the train through the critical tunnel
bowl = EMPTY ;
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Frage zur ersten Lösung
Is this procedure really sure?
No, because the exclusion is not enough sure (danger of collision)
Train A
Finds the bowl empty
Search a stone
>>--------->>
Put the stone into the bowl
Pass through the critical part
Train B
Finds the bowl empty
Search a stone
Put the stone into the bowl
Pass through the critical part
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Solution with a privileged section
// Cover the bowl, wait if already covered
*1)
while (bowl == NOT_EMPTY) {};
// Search a stone
bowl = NOT EMPTY ;
// Uncover the bowl
// Drive the train through the critical tunnel
bowl = EMPTY ;
// *2)
// continue the non critical part of the journey
Comments
*1) Wait if the cover is already on the bowl
*2) Access possible, even with covered bowl
Is this procedure really sure?
Yes, because it fulfills the mutual exclusion
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SEMAPHORE
Flag, which can be accessed only within privileged section
Dijkstra 1968
Coordination using privileged actions
flag = 1;
// *1)
while (flag == 0) { /* nothing */ }
flag = flag - 1 ;
// go through the critical region
flag = flag + 1 ;
// continue the non critical part of the job
*1) init-value defines the number of trains allowed in the critical part
Value = 1 → binary semaphore
Value > 1 → general semaphore
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Privileged function
P(int * s) & V(int * s)
Definition of the privileged functions
proberen
verhogen
try
increment
void proberen (int *s) {
while (*s == 0) {}
*s = *s - 1;
} // end proberen
// ev. <= 0
void verhogen (int *s) {
*s = *s + 1;
} // end verhogen
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Using of the privileged functions
within tasks
#define n 1
#define n > 1
int s = n;
// for a binary semaphore
// for a general semaphore
probeeren (&s);
// go though critical region
verhogen (&s);
// go though rest of job
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Problem of the waiting loop of
probeeren
The waiting loop of probeeren occupies the CPU almost by 100%
while (s == 0) { /* nothing */ }
Solution
Task which calls the waiting process must be put in a waiting list
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Procedure wait(int* s)
void wait (int *sema) {
// wait if resource occupied
if (*sema == 0) {
// enter this task into the sema-waiting-queue for this
// semaphore Q(s) and leave the "ready state"
// (goes sleeping in a waiting state)
} else {
*sema = *sema - 1;
} // end if … else
} // end wait
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Procedure signal (int *s)
void signal (int *sema) {
// free the resource
// read the waiting queue Q(s).
if /* this queue was EMPTY */
*sema = *sema + 1 ;
} else {
// change this sleeping task to the ready-to run state *
// and call a wait(&sema);
} // end if … else
} // end signal
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Definition of the semaphore variable
selon Dijkstra
Definition of the semaphore variable
int s >= 0
Rules for the semaphore variable
Binary semaphore:
General semaphore:
s = {0, 1}
0 <= s <= n
Each semaphore variable contains its own waiting list
Writing into and reading from is realized in privileged mode
wait(int *s) & signal(int *s) are privileged functions
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signal and wait functions of Keil
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Semaphore functions of Keil
void os_sem_init (OS_ID semaphore, U16 token_count);
OS_RESULT os_sem_send (OS_ID semaphore);
OS_RESULT os_sem_wait (OS_ID semaphore, U16 timeout);
Telegram functions of Keil
void os_mbx_init (OS_ID mailbox, U16 mbx_size);
OS_RESULT os_mbx_send (OS_ID mailbox, void *message_ptr,
U16 timeout);
OS_RESULT os_mbx_wait (OS_ID mailbox, void **message,
U16 timeout);
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Keil code for the locomotiv conductors
OS_SEM sema;
// definition of the semaphore as global variable
…
os_sem_init(&sema,1);
// Initialization of the semaphore in main
Locomotive driver: West
Locomotive driver: East
while (1) {
res = os_sem_wait(&sema, 1000);
if (res != OS_R_TMO) {
/* Go through the critical
section */
os_sem_send(&sema);
} // end if
} // end while
while (1) {
res = os_sem_wait(&sema, 1000);
if (res != OS_R_TMO) {
/* Go through the critical
section */
os_sem_send(&sema);
} // end if
} // end while
Keil code for parallel data processing
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Acquisition
Task
Display
Task
Data store
Voltage
A/D
Microprocessor
Display (LCD)
/* Declaration of a mailbox for 20 messages */
os_mbx_declare (mbox, 20);
Acquisition Task
Display Task
int *p_msg;
while (1) {
/* Wait until A/D ready and
store its conversion result
into new_AD_value */
p_msg = malloc(sizeof(int));
*p_msg = new_AD_value;
if (os_mbx_check(&mbox) > 0) {
rt_mbx_send(&mbox, p_msg,10);
} // end if
os_dly_wait (75);
} // end while
int *p_msg;
while (1) {
if (os_mbx_check(&mbox) < 20) {
rt_mbx_wait(&mbox,&p_msg,10);
/* Display od the LCD
the measurements
addressed by p_msg */
free(p_msg);
} // end if
os_dly_wait (50);
} // end while