Method and apparatus for performing a semaphore operation

Electrical computers and digital processing systems: multicomput – Computer-to-computer data routing – Least weight routing

Reexamination Certificate

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C709S241000, C709S241000

Reexamination Certificate

active

06237019

ABSTRACT:

BACKGROUND OF THE INVENTION
1. Field of the Invention
This invention relates to a method and apparatus for performing an operation on a semaphore and, more particularly, to a method and apparatus for performing an operation on a binary semaphore.
2. Description of the Related Art
In the world of computing, there is a well-known serialization mechanism, known as a semaphore, used to serialize access to a shared resource. A semaphore is an integer that can vary between zero and some predetermined positive number n, where n is the number of requesters allowed simultaneous use of the resource. In the case of a binary semaphore, n=1 and only one requester can use the resource at a time. Initially the semaphore value is set at n. To obtain access to a resource, a requester (e.g., a unit of work such as a process or a thread) tests the current value of the semaphore. If the current value is greater than zero, the requester decrements the current value by one and proceeds to use the resource. If the current value is zero, on the other hand, the requester is suspended (i.e., goes to sleep) and is put in a queue as a waiter for the semaphore. To release a resource, the requester increments the semaphore value by one. In addition, if there are any waiters in the queue for the semaphore, one of the waiters is posted, whereupon it again attempts to obtain the resource by testing the semaphore as it did initially. Semaphores were first proposed by E. W. Dijkstra in 1965 and are described in such publications as A. S. Tanenbaum,
Modern Operating Systems
(1982), pages 41-43; J. P. Hayes,
Computer Architecture and Organization
(1988), page 540; and W. R. Stevens,
UNIX Network Programming
(1990), pages 137-152, incorporated herein by reference.
There are two main types of semaphores: counting semaphores (n>1) and binary semaphores (n=1). This specification will describe the problems inherent in many semaphore implementations and then describe a high-performance semaphore implementation of the present invention. Although the invention is not limited to a binary semaphore, the description will be primarily in terms of such a semaphore.
FIG. 1
shows a C language example of a semaphore set. A semaphore set is initially created when the C program calls the semget function. (The description in terms of the C source language is for convenience of explanation. The code that actually executes the steps is of course the object code produced by compiling the source code.) The caller defines how many semaphores
120
are in a semaphore set
115
. At the time a semaphore set is created, a semid (semaphore id) is returned to the caller. This semid is then used on each subsequent call to the semop function. The operating system keeps track of the semaphore sets in a table
105
, where each entry
110
and associated semaphore set
115
are kept track of.
FIG. 2
provides a general description of how semaphore processing works conventionally. The figure shows process
1
(
205
) and process
2
(
210
) contending for the same semaphore. The general behavior of binary semaphores is that the semaphore value is initialized to 1 (available). When an application wants to obtain the semaphore, it does a semop(−1) to decrement the value of the semaphore. The main rule of semaphores is that the semaphore value is not allowed to go negative. So the first caller of semop to decrement the semaphore value to 0 owns the semaphore. Any subsequent request to decrement the semaphore will result in the caller being suspended.
So process
1
205
calls semop(−1) (step
220
). This gets into the kernel
215
for semaphore processing. The kernel looks at the state of the semaphore and sees that it is currently at a value of 1. The kernel decrements the semaphore value, changing it from 1 to 0, thus granting access to process
1
(step
222
). The kernel then returns to process
1
(step
224
). Process
1
now is able to access whatever critical resource is protected by the semaphore (step
226
). This resource may be memory, a file on DASD or just a critical section of code that cannot execute concurrently in multiple processes.
While process
1
owns the semaphore, process
2
(
210
) also requests a semop(−1) against the same semaphore (step
228
). The kernel cannot perform the −1, since the value is currently
0
and cannot go negative. So the kernel suspends the caller (process
2
) (step
230
).
Eventually, process
1
finishes accessing the critical resource and performs a semop(+1) (step
232
). The kernel modifies the semaphore value from 0 to 1, which causes the suspended process
2
to be resumed (step
234
). The kernel running on behalf of process
2
then modifies the semaphore value from 1 to 0 (step
236
), thus granting ownership of the semaphore to process
2
. Process
2
then can access the critical resource (step
240
). After posting the first waiter, control is returned to the caller (step
238
). When process
2
is done accessing the resource, it issues a semop(+1) to free up the semaphore (step
242
). The kernel modifies the semaphore value from 0 to 1, making it available. Since there are no waiters for the semaphore, control is returned to the caller (step
244
).
This was a logical explanation of how semaphore processing operates. When running in a symmetric multiprocessor (SMP) environment, processes running on different central processing units (CPUs) can be concurrently attempting to obtain or free the semaphore.
FIG. 3
shows the complications that can occur with a conventional semaphore implementation.
In order for the kernel semaphore logic to atomically update the semaphore value and maintain the wait queue, it is necessary for the kernel to obtain some form of lock or mutex. There are many forms this can take, and it is not unique to any particular platform. When the kernel owns this lock, other callers of semop will be suspended waiting for this lock. This lock is very similar to the concept of semaphores.
In
FIG. 3
, the first block of pseudocode describes the processing in semop to perform a semop(−1) or an obtain of the binary semaphore (step
310
). The first step is to obtain a lock to serialize the semaphore structures (step
312
). If this lock is not available, the system suspends the calling thread and places it on a lock wait queue
360
by creating a queue element
362
to represent the process. When this lock becomes available, this process is resumed and can continue past step
312
knowing that the semaphore structures will not change while it is processing. If the semaphore is available (step
314
), the kernel grants the semaphore to the caller by modifying the semaphore value (step
316
). Then the kernel releases the internal lock (step
318
), which may cause other processes that are on the wait queue
360
to be resumed. Control then is returned to the caller (step
319
).
If the semaphore value is not available (step
320
), then the kernel releases the internal lock (step
322
) and suspends the caller by adding a semaphore waiter element
372
to the semaphore wait queue
370
(step
324
). When this process is resumed (step
326
), it starts over at step
312
(step
328
).
When a process calls semop(+1) to release a binary semaphore (step
340
), the kernel first obtains the internal lock to serialize access to the semaphore structures (step
342
). If this lock is not available, the system suspends the calling thread and places it on the lock wait queue
360
by creating a queue element
362
to represent the process. When this lock becomes available, this process is resumed and can continue past step
342
knowing that the semaphore structures will not change while it is processing. The kernel then modifies the semaphore value by incrementing it by 1 (step
344
). If there are any waiters
372
on the semaphore queue
370
, then the first element
372
is removed and the process that it represents is resumed (step
346
). Then the kernel releases the internal lock (step
348
), which may cause

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