Linux System Calls
This article aims to give the reader, either a kernel novice or a seasoned programmer, a better understanding of the dynamics of system calls in Linux. Wherever code sections are mentioned, I refer to the 2.3.52 (soon to be 2.4) series of kernels unless otherwise noted.
The most widespread CPU architecture is the IA32, a.k.a. x86, which is the architecture of the 386, 486, the Pentiums I, Pro, II and III, AMD's competing K6 and Athlon lines, plus CPUs from others such as VIA/Cyrix and Integrated Device Technologies. Because it is the most widespread, it will be taken as the illustrative example here. First, I will cover the mechanisms provided by the IA32 type of CPU for handling system calls, and then show how Linux uses those mechanisms. To review a few broad terms:
A kernel is the operating system software running in protected mode and having access to the hardware's privileged registers. The kernel is not a separate process running on the system. It is the guts of the operating system, which controls the scheduling of processes to achieve multitasking, and provides a set of routines, constantly in memory, to which every user-space process has access.
Some operating systems employ a microkernel architecture, wherein device drivers and other code are loaded and executed on demand and are not necessarily always in memory.
A monolithic architecture is more common among UNIX implementations; it is the design employed by classic designs such as BSD.
The Linux kernel is mostly a monolithic kernel: i.e., all device drivers are part of the kernel proper. Unlike BSD, a Linux kernel's device drivers can be “loadable”, i.e., they can be loaded and unloaded from memory through user commands.
Basically, multitasking is accomplished in this way: the kernel switches control between processes rapidly, using the clock interrupt (and other means) to trigger a switch from one process to another. When a hardware device issues an interrupt, the interrupt handler is found within the kernel. When a process takes an action that requires it to wait for results, the kernel steps in and puts the process into an appropriate sleeping or waiting state and schedules another process in its place.
Besides multitasking, the kernel also contains the routines which implement the interface between user programs and hardware devices, virtual memory, file management and many other aspects of the system.
Kernel routines to achieve all of the above can be called from user-space code in a number of ways. One direct method to utilize the kernel is for a process to execute a system call. There are 116 system calls; documentation for these can be found in the man pages.
A system call is a request by a running task to the kernel to provide some sort of service on its behalf. In general, the kernel services invoked by system calls comprise an abstraction layer between hardware and user-space programs, allowing a programmer to implement an operating environment without having to tailor his program(s) too specifically to one single brand or precise specific combination of system hardware components. System calls also serve this generalization function across programming languages; e.g., the read system call will read data from a file descriptor. To the programmer, this looks like another C function, but in actuality, the code for read is contained within the kernel.
The IA32 CPU recognizes two classes of events needing special processor attention: interrupts and exceptions. Both cause a forced context switch to a new procedure or task.
Interrupts can occur at unexpected times during the execution of a program and are used to respond to signals; they are signals that processor attention is needed from hardware. When a hardware device issues an interrupt, the interrupt handler is found within the kernel. Next month, we will discuss interrupts in more detail.
Two sources of interrupts are recognized by the IA32: maskable interrupts, for which vectors are determined by the hardware, and non-maskable interrupts (NMI Interrupts, or NMIs).
Exceptions are either processor-detected or issued (thrown) from software. When a procedure or method encounters an abnormal condition (an exception condition) it can't handle, it may throw an exception. Exceptions of either type are caught by handler routines (_exception handlers_) positioned along the thread's procedure or method invocation stack. This may be the calling procedure or method, or if that doesn't include code to handle the exception condition, its calling procedure or method and so on. If one of the threads of your program throws an exception that isn't caught by any procedure (or method), then that thread will expire.
An exception tells a calling procedure that an abnormal (though not necessarily rare) condition has occurred, e.g., a method was invoked with an invalid argument. When you throw an exception, you are performing a kind of structured “go to” from the place in your program where the abnormal condition was detected to a place where it can be handled. Exception handlers should be stationed at program-module levels in accordance with how general a range of errors each is capable of handling in such a way that as few exception handlers as possible will cover as wide a variety of exceptions as are going to be encountered in field application of your programs.
- Epiq Solutions' Sidekiq M.2
- Android Browser Security--What You Haven't Been Told
- Readers' Choice Awards 2013
- The Many Paths to a Solution
- Nativ Disc
- Download "Linux Management with Red Hat Satellite: Measuring Business Impact and ROI"
- Synopsys' Coverity
- Securing the Programmer
- Tech Tip: Really Simple HTTP Server with Python
- Naztech's Roadstar 5 Car Charger
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide