Real-Time UNIX® Systems

Furht, Borko; Grostick, Dan; Gluch, David P.; Rabbat, Guy; Parker, John; McRoberts, Meg

doi:10.1007/978-1-4615-3978-0

Cited by 33 publications

(2 citation statements)

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“…A second approach to real-time operating systems is the extension of commercial products, e.g., extending UNIX to RT-UNIX [16], or POSIX to RT-POSIX, or MACH to RT-MACH [69], or CHORUS to a real-time version [lo]. The real-time version of commercial operating systems are generally slower and less predictable than the proprietary kernels, but have greater functionality and better software development environments-very important considerations in many applications.…”

Section: B Real-time Extensions To Commercial Operating Systemsmentioning

confidence: 99%

“…For example, in [16] they list over 60 RT-UNIX system calls that are not recommended to be used when running a real-time application. This is very disturbing because in converting from UNIX to RT-UNIX the following aspects were changed: scheduling, interrupt handling, IPC, the file system, I/O support, how the user controls resource use, timer facilities, memory management, and the basic syn-chronization assumptions of the kemel.…”

Section: B Real-time Extensions To Commercial Operating Systemsmentioning

confidence: 99%

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Scheduling algorithms and operating systems support for real-time systems

1994

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This paper summarizes the state of the real-time field in the areas of scheduling and operating system kernels. Given the vast amount of work that has been done by both the operations research and computer science communities in the scheduling area, we discuss four paradigms underlying the scheduling approaches and present several exemplars of each. The four paradigms are: static tabledriven scheduling, static priority preemptive scheduling, dynamic planning-based scheduling, and dynamic best efSort scheduling. In the operating system context, we argue that most of the proprietary commercial kernels as well as real-time extensions to time-sharing operating system kernels do not fit the needs of predictable realtime systems. We discuss several research kernels that are currently being built to explicitly meet the needs of real-time applications. I. INTRODUCTION Real-time systems are defined as those systems in which the correctness of the system depends not only on the logical result of computation, but also on the time at which the results are produced. Examples of this type of real-time system are command and control systems, process control systems, flight control systems, the Space Shuttle avionics system, future systems such as the space station, spacebased defense systems such as SDI, and large command and control systems. A majority of today's systems assume that much of this knowledge is available a priori, and hence are based on static designs which contribute to their high cost and inflexibility. The next generation hard real-time systems must be designed to be dynamic, predictable, and flexible. When activities have timing constraints, as is typical of real-time computing systems, scheduling these activities to meet their timing constraints is one major problem that comes to mind. However, as we show in Section I1 of this paper, in spite of an extensive literature on Manuscript received July 13, 1993.This material is.

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Section: B Real-time Extensions To Commercial Operating Systemsmentioning

confidence: 99%

Section: B Real-time Extensions To Commercial Operating Systemsmentioning

confidence: 99%

Scheduling algorithms and operating systems support for real-time systems

1994

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Unix

Fox

2002

Encyclopedia of Software Engineering

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The UNIX system is a computer operating system and a collection of software tools created at AT&T Bell Laboratories in the early 1970s. UNIX is a registered trademark of UNIX System Laboratories, Inc. Today the UNIX system is among the most popular and widely used computing environments, and is found on computers ranging from laptops through supercomputers. This article discusses the history and development of the UNIX system, its structure, its influence, its strengths and weaknesses as a software engineering environment, and its future.

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A tree-driven multiple-rate model of time measuring in object-oriented real-time systems

Minĉev¹,

Milicev

1998

Lecture Notes in Computer Science

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Real-Time UNIX® Systems

Cited by 33 publications

References 0 publications

Scheduling algorithms and operating systems support for real-time systems

Scheduling algorithms and operating systems support for real-time systems

Unix

A tree-driven multiple-rate model of time measuring in object-oriented real-time systems

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