Category: Operating Systems


In this article I will present to you some useful functions for handling the PID file of a background daemon. Most of the background daemons maintain a PID file usually in a well-known path such as the “/var/run”. For example, the GNOME Display Manager which runs as a background daemon (gdm3) maintains the following file “/var/run/gdm3.pid”. A PID file contains the PID number of the daemon process currently running. This information is useful either for validation or for sending various signals to the daemon process. Also, if a background daemon must have a single running instance this can be accomplished by checking if the PID number of the PID file really exists in the system.

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In this article I will present to you two useful functions that can be used whenever you want to enable or disable the non-blocking I/O mode of a file descriptor. By using the enable_io_blocking_for_file_descriptor and disable_io_blocking_for_file_descriptor functions you can enable and disable the I/O blocking of a file descriptor.

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In this article I will present to you a safe wrapper for freeing memory allocated with *alloc family functions. The standard function “void free (void * pointer)” from stdlib library does not check the given pointer to see whether it is NULL and does not NULL terminate the pointer before it returns either. So, setting a pointer to NULL after freeing is considered a good practice, and can reduce the chances of unpredictable behavior if the memory is later accessed; segmentation faults when the memory is no longer accessible and potential security risks.

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In this article I will present to you some macro definitions for handling interruptible system calls.

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In this article I will present to you a mechanism written in C for handling efficiently software signals in POSIX operating systems. The first thing you have to do is to create the configuration of the signals you want to support. After you decide the appropriate configuration you have to setup the signals support and register the configuration. Later on, when the various software signals occur a generic signal dispatcher will handle the signals according to the specified configuration.

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In a previous article I had shown to you how a typical process in GNU/Linux operating systems can be converted to a background daemon process. The source code from the previous article was taken from an old project I wrote years ago. Nowadays, I have rewritten the daemonizing function in a new project and I think it could be nice to share it. I have simplified the function and now it has a clearer and simpler API.

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Below, we quote a function for managing a transaction in a hypothetical transaction management system. It is very likely multiple instances of the function to be executed in parallel on a system of symmetric multiprocessing (SMP), on multi-processor platforms or even a multithreaded single processor systems.

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Below I quote a function in C to convert a standard Linux kernel process into background service (Daemon Service). If you wish to develop a server to provide services, it may be helpful. Although there are several manuals on the Internet on how to create background services, most of them don’t show a complete example, while others are barely functioning. The following function converts a standard process into a service taking everything you need into account. Also, this function is the result of a combination of several textbooks and numerous studies about this issue. Finally, it has been tested on personal applications servers and it is performing well.

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Below I quote a simple implementation in C that you can use in your applications for the management of software signals in POSIX operating systems (such as the GNU/Linux). Of course, this implementation comes from a personal project of the past, especially where I grappled with system programming. You can modify this implementation to work best with your needs.

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Before I mention the function that I have developed for the production of random numbers from the monolithic Linux kernel, I would first like to say something about the issue of random numbers.

The issue of producing truly random numbers is important and had even since the beginning puzzled computer scientists. In mathematics, it is very difficult to define the random and, generally, randomness is very difficult to prove with no assumptions. In the past, many scientists tried to develop mathematical models and algorithms to develop random number generators.

One of the greatest scientists of Computer Science, John von Neumann (the basic idea of the architecture of all computer systems today was his own design) jokingly said: ‘Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin.’.

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