3. Key Concepts#

3.1. Introduction#

The facilities provided by RTEMS are built upon a foundation of very powerful concepts. These concepts must be understood before the application developer can efficiently utilize RTEMS. The purpose of this chapter is to familiarize one with these concepts.

3.2. Objects#

RTEMS provides directives which can be used to dynamically create, delete, and manipulate a set of predefined object types. These types include tasks, message queues, semaphores, memory regions, memory partitions, timers, ports, and rate monotonic periods. The object-oriented nature of RTEMS encourages the creation of modular applications built upon re-usable “building block” routines.

All objects are created on the local node as required by the application and have an RTEMS assigned ID. All objects have a user-assigned name. Although a relationship exists between an object’s name and its RTEMS assigned ID, the name and ID are not identical. Object names are completely arbitrary and selected by the user as a meaningful “tag” which may commonly reflect the object’s use in the application. Conversely, object IDs are designed to facilitate efficient object manipulation by the executive.

3.2.1. Object Names#

An object name is an unsigned thirty-two bit entity associated with the object by the user. The data type rtems_name is used to store object names.

Although not required by RTEMS, object names are often composed of four ASCII characters which help identify that object. For example, a task which causes a light to blink might be called “LITE”. The rtems_build_name routine is provided to build an object name from four ASCII characters. The following example illustrates this:

rtems_name my_name;
my_name = rtems_build_name( 'L', 'I', 'T', 'E' );

However, it is not required that the application use ASCII characters to build object names. For example, if an application requires one-hundred tasks, it would be difficult to assign meaningful ASCII names to each task. A more convenient approach would be to name them the binary values one through one-hundred, respectively.

RTEMS provides a helper routine, rtems_object_get_name, which can be used to obtain the name of any RTEMS object using just its ID. This routine attempts to convert the name into a printable string.

The following example illustrates the use of this method to print an object name:

#include <rtems.h>
#include <rtems/bspIo.h>
void print_name(rtems_id id)
{
    char  buffer[10];   /* name assumed to be 10 characters or less */
    char *result;
    result = rtems_object_get_name( id, sizeof(buffer), buffer );
    printk( "ID=0x%08x name=%s\n", id, ((result) ? result : "no name") );
}

3.2.2. Object Ids#

an object id is a unique 32-bit unsigned integer value which uniquely identifies an object instance. object ids are passed as arguments to many directives in rtems and rtems translates the id to an internal object pointer. the efficient manipulation of object ids is critical to the performance of some rtems services.

There are multiple directives with names of the form rtems_@CLASS@_ident that take a name as argument and return the associated id if the name is found. The following is the set of name to id services: which can look up an object

rtems_extension_ident()
rtems_barrier_ident()
rtems_port_ident()
rtems_message_queue_ident()
rtems_partition_ident()
rtems_region_ident()
rtems_semaphore_ident()
rtems_task_ident()
rtems_timer_ident()

3.2.3. Local and Global Scope#

RTEMS supports uniprocessing, distributed multiprocessing, and Symmetric Multiprocessing (SMP) configurations. A uniprocessor system includes only a single processor in a single node. Distributed multiprocessor systems include multiple nodes, each of which is a single processor and is usually referred to as just multiprocessor mode for historical reasons. SMP systems consist of multiple processors cores in a single node.

In distributed multiprocessing configurations, there are multiple nodes in the system and object instances may be visible on just the creating node or to all nodes. If visible only to the creating node, this is referred to as local scope and corresponds to the RTEMS_LOCAL attribute setting which is the default. If RTEMS GLOBAL is specified as part of the object attributes, then the object instance has global scope and the object id can be used anywhere in the system to identify that object instance.

In uniprocessing and SMP configurations, there is only one node in the system and object instances are locally scoped to that node. Any attempt to create with the RTEMS_GLOBAL attribute is an error.

3.2.3.1. Object ID Format#

The thirty-two bit format for an object ID is composed of four parts: API, object class, node, and index. The data type rtems_id is used to store object IDs.

31      27 26   24 23          16 15                             0
+---------+-------+--------------+-------------------------------+
|         |       |              |                               |
|  Class  |  API  |     Node     |             Index             |
|         |       |              |                               |
+---------+-------+--------------+-------------------------------+

The most significant five bits are the object class. The next three bits indicate the API to which the object class belongs. The next eight bits (16-23) are the number of the node on which this object was created. The node number is always one (1) in a single processor system. The least significant sixteen bits form an identifier within a particular object type. This identifier, called the object index, ranges in value from 1 to the maximum number of objects configured for this object type.

None of the fields in an object id may be zero except for the special case of RTEMS_SELF to indicate the currently running thread.

3.2.4. Object ID Description#

The components of an object ID make it possible to quickly locate any object in even the most complicated multiprocessor system. Object ID’s are associated with an object by RTEMS when the object is created and the corresponding ID is returned by the appropriate object create directive. The object ID is required as input to all directives involving objects, except those which create an object or obtain the ID of an object.

The object identification directives can be used to dynamically obtain a particular object’s ID given its name. This mapping is accomplished by searching the name table associated with this object type. If the name is non-unique, then the ID associated with the first occurrence of the name will be returned to the application. Since object IDs are returned when the object is created, the object identification directives are not necessary in a properly designed single processor application.

In addition, services are provided to portably examine the subcomponents of an RTEMS ID. These services are described in detail later in this manual but are prototyped as follows:

Objects_APIs rtems_object_id_get_api( rtems_id );
uint32_t rtems_object_id_get_class( rtems_id );
uint32_t rtems_object_id_get_node( rtems_id );
uint16_t rtems_object_id_get_index( rtems_id );

An object control block is a data structure defined by RTEMS which contains the information necessary to manage a particular object type. For efficiency reasons, the format of each object type’s control block is different. However, many of the fields are similar in function. The number of each type of control block is application dependent and determined by the values specified in the user’s Configuration Table. An object control block is allocated at object create time and freed when the object is deleted. With the exception of user extension routines, object control blocks are not directly manipulated by user applications.

3.3. Communication and Synchronization#

In real-time multitasking applications, the ability for cooperating execution threads to communicate and synchronize with each other is imperative. A real-time executive should provide an application with the following capabilities:

Data transfer between cooperating tasks
Data transfer between tasks and ISRs
Synchronization of cooperating tasks
Synchronization of tasks and ISRs

Most RTEMS managers can be used to provide some form of communication and/or synchronization. However, managers dedicated specifically to communication and synchronization provide well established mechanisms which directly map to the application’s varying needs. This level of flexibility allows the application designer to match the features of a particular manager with the complexity of communication and synchronization required. The following managers were specifically designed for communication and synchronization:

Semaphore
Message Queue
Event
Signal

The semaphore manager supports mutual exclusion involving the synchronization of access to one or more shared user resources. Binary semaphores may utilize the optional priority inheritance algorithm to avoid the problem of priority inversion. The message manager supports both communication and synchronization, while the event manager primarily provides a high performance synchronization mechanism. The signal manager supports only asynchronous communication and is typically used for exception handling.

3.4. Locking Protocols#

RTEMS supports the four locking protocols

Immediate Ceiling Priority Protocol (ICPP),
Priority Inheritance Protocol,
Multiprocessor Resource Sharing Protocol (MrsP), and
O(m) Independence-Preserving Protocol (OMIP)

for synchronization objects providing mutual-exclusion (mutex). The OMIP is only available in SMP configurations and replaces the priority inheritance protocol in this case. One aim of the locking protocols is to avoid priority inversion.

Since RTEMS 5.1, priority updates due to the locking protocols take place immediately and are propagated recursively. The mutex owner and wait for mutex relationships define a directed acyclic graph (DAG). The run-time of the mutex obtain, release and timeout operations depend on the complexity of this resource dependency graph.

3.4.1. Priority Inversion#

Priority inversion is a form of indefinite postponement which is common in multitasking, preemptive executives with shared resources. Priority inversion occurs when a high priority tasks requests access to shared resource which is currently allocated to a low priority task. The high priority task must block until the low priority task releases the resource. This problem is exacerbated when the low priority task is prevented from executing by one or more medium priority tasks. Because the low priority task is not executing, it cannot complete its interaction with the resource and release that resource. The high priority task is effectively prevented from executing by lower priority tasks.

3.4.2. Immediate Ceiling Priority Protocol (ICPP)#

Each mutex using the Immediate Ceiling Priority Protocol (ICPP) has a ceiling priority. The priority of the mutex owner is immediately raised to the ceiling priority of the mutex. In case the thread owning the mutex releases the mutex, then the normal priority of the thread is restored. This locking protocol is beneficial for schedulability analysis, see also [BW01].

This protocol avoids the possibility of changing the priority of the mutex owner multiple times since the ceiling priority must be set to the one of highest priority thread which will ever attempt to acquire that mutex. This requires an overall knowledge of the application as a whole. The need to identify the highest priority thread which will attempt to obtain a particular mutex can be a difficult task in a large, complicated system. Although the priority ceiling protocol is more efficient than the priority inheritance protocol with respect to the maximum number of thread priority changes which may occur while a thread owns a particular mutex, the priority inheritance protocol is more forgiving in that it does not require this apriori information.

3.4.3. Priority Inheritance Protocol#

The priority of the mutex owner is raised to the highest priority of all threads that currently wait for ownership of this mutex [SRL90]. Since RTEMS 5.1, priority updates due to the priority inheritance protocol take place immediately and are propagated recursively. This means the priority inheritance is transitive since RTEMS 5.1. If a task A owning a priority inheritance mutex blocks on another priority inheritance mutex, then the owner of this mutex inherits the priority of the task A.

3.4.5. O(m) Independence-Preserving Protocol (OMIP)#

The \(O(m)\) Independence-Preserving Protocol (OMIP) is a generalization of the priority inheritance protocol to clustered scheduling which avoids the non-preemptive sections present with priority boosting [Bra13]. The \(m\) denotes the number of processors in the system. Similar to the uniprocessor priority inheritance protocol, the OMIP mutexes do not need any external configuration data, e.g. a ceiling priority. This makes them a good choice for general purpose libraries that need internal locking. The complex part of the implementation is contained in the thread queues and shared with the MrsP support. This locking protocol is available since RTEMS 5.1.

3.5. Thread Queues#

In case more than one thread may wait on a synchronization object, e.g. a semaphore or a message queue, then the waiting threads are added to a data structure called the thread queue. Thread queues are named task wait queues in the Classic API. There are two thread queuing disciplines available which define the order of the threads on a particular thread queue. Threads can wait in FIFO or priority order.

In uniprocessor configurations, the priority queuing discipline just orders the threads according to their current priority and in FIFO order in case of equal priorities. However, in SMP configurations, the situation is a bit more difficult due to the support for clustered scheduling. It makes no sense to compare the priority values of two different scheduler instances. Thus, it is impossible to simply use one plain priority queue for threads of different clusters. Two levels of queues can be used as one way to solve the problem. The top-level queue provides FIFO ordering and contains priority queues. Each priority queue is associated with a scheduler instance and contains only threads of this scheduler instance. Threads are enqueued in the priority queues corresponding to their scheduler instances. To dequeue a thread, the highest priority thread of the first priority queue is selected. Once this is done, the first priority queue is appended to the top-level FIFO queue. This guarantees fairness with respect to the scheduler instances.

Such a two-level queue needs a considerable amount of memory if fast enqueue and dequeue operations are desired. Providing this storage per thread queue would waste a lot of memory in typical applications. Instead, each thread has a queue attached which resides in a dedicated memory space independent of other memory used for the thread (this approach was borrowed from FreeBSD). In case a thread needs to block, there are two options

the object already has a queue, then the thread enqueues itself to this already present queue and the queue of the thread is added to a list of free queues for this object, or
otherwise, the queue of the thread is given to the object and the thread enqueues itself to this queue.

In case the thread is dequeued, there are two options

the thread is the last thread in the queue, then it removes this queue from the object and reclaims it for its own purpose, or
otherwise, the thread removes one queue from the free list of the object and reclaims it for its own purpose.

Since there are usually more objects than threads, this actually reduces the memory demands. In addition the objects only contain a pointer to the queue structure. This helps to hide implementation details. Inter-cluster priority queues are available since RTEMS 5.1.

A doubly-linked list (chain) is used to implement the FIFO queues yielding a \(O(1)\) worst-case time complexity for enqueue and dequeue operations.

A red-black tree is used to implement the priority queues yielding a \(O(log(n))\) worst-case time complexity for enqueue and dequeue operations with \(n\) being the count of threads already on the queue.

3.6. Time#

The development of responsive real-time applications requires an understanding of how RTEMS maintains and supports time-related operations. The basic unit of time in RTEMS is known as a clock tick or simply tick. The tick interval is defined by the application configuration option CONFIGURE_MICROSECONDS_PER_TICK. The tick interval defines the basic resolution of all interval and calendar time operations. Obviously, the directives which use intervals or wall time cannot operate without some external mechanism which provides a periodic clock tick. This clock tick is provided by the clock driver. The tick precision and stability depends on the clock driver and interrupt latency. Most clock drivers provide a timecounter to measure the time with a higher resolution than the tick.

By tracking time in units of ticks, RTEMS is capable of supporting interval timing functions such as task delays, timeouts, timeslicing, the delayed execution of timer service routines, and the rate monotonic scheduling of tasks. An interval is defined as a number of ticks relative to the current time. For example, when a task delays for an interval of ten ticks, it is implied that the task will not execute until ten clock ticks have occurred. All intervals are specified using data type rtems_interval.

A characteristic of interval timing is that the actual interval period may be a fraction of a tick less than the interval requested. This occurs because the time at which the delay timer is set up occurs at some time between two clock ticks. Therefore, the first countdown tick occurs in less than the complete time interval for a tick. This can be a problem if the tick resolution is large.

The rate monotonic scheduling algorithm is a hard real-time scheduling methodology. This methodology provides rules which allows one to guarantee that a set of independent periodic tasks will always meet their deadlines even under transient overload conditions. The rate monotonic manager provides directives built upon the Clock Manager’s interval timer support routines.

Interval timing is not sufficient for the many applications which require that time be kept in wall time or true calendar form. Consequently, RTEMS maintains the current date and time. This allows selected time operations to be scheduled at an actual calendar date and time. For example, a task could request to delay until midnight on New Year’s Eve before lowering the ball at Times Square. The data type rtems_time_of_day is used to specify calendar time in RTEMS services. See Time and Date Data Structures.

3.7. Timer and Timeouts#

Timer and timeout services are a standard component of an operating system. The use cases fall roughly into two categories:

Timeouts – used to detect if some operations need more time than expected. Since the unexpected happens hopefully rarely, timeout timers are usually removed before they expire. The critical operations are insert and removal. For example, they are important for the performance of a network stack.
Timers – used to carry out some work in the future. They usually expire and need a high resolution. An example use case is a time driven scheduler, e.g. rate-monotonic or EDF.

In RTEMS versions prior to 5.1 the timer and timeout support was implemented by means of delta chains. This implementation was unfit for SMP systems due to several reasons. The new implementation present since RTEMS 5.1 uses a red-black tree with the expiration time as the key. This leads to \(O(log(n))\) worst-case insert and removal operations for \(n\) active timer or timeouts. Each processor provides its own timer and timeout service point so that it scales well with the processor count of the system. For each operation it is sufficient to acquire and release a dedicated SMP lock only once. The drawback is that a 64-bit integer type is required internally for the intervals to avoid a potential overflow of the key values.

An alternative to the red-black tree based implementation would be the use of a timer wheel based algorithm [VL87] which is used in Linux and FreeBSD [VC95] for example. A timer wheel based algorithm offers \(O(1)\) worst-case time complexity for insert and removal operations. The drawback is that the run-time of the clock tick procedure is unpredictable due to the use of a hash table or cascading.

The red-black tree approach was selected for RTEMS, since it offers a more predictable run-time behaviour. However, this sacrifices the constant insert and removal operations offered by the timer wheel algorithms. See also [GN06]. The implementation can re-use the red-black tree support already used in other areas, e.g. for the thread priority queues. Less code is a good thing for size, testing and verification.

3.8. Memory Management#

RTEMS memory management facilities can be grouped into two classes: dynamic memory allocation and address translation. Dynamic memory allocation is required by applications whose memory requirements vary through the application’s course of execution. Address translation is needed by applications which share memory with another CPU or an intelligent Input/Output processor. The following RTEMS managers provide facilities to manage memory:

Region
Partition
Dual Ported Memory

RTEMS memory management features allow an application to create simple memory pools of fixed size buffers and/or more complex memory pools of variable size segments. The partition manager provides directives to manage and maintain pools of fixed size entities such as resource control blocks. Alternatively, the region manager provides a more general purpose memory allocation scheme that supports variable size blocks of memory which are dynamically obtained and freed by the application. The dual-ported memory manager provides executive support for address translation between internal and external dual-ported RAM address space.

Key Concepts

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