A distributed real-time operating system

Shin, Kang G.; Kandlur, Dilip D.; Kiskis, Daniel L.; Dodd, Paul S.; Rosenberg, Harold A.; Indiresan, A.

doi:10.1109/52.156898

Cited by 24 publications

(2 citation statements)

References 7 publications

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“…A first version of the operating system for HARTS, called HARTOS, has already been completed and is operational (Shin et al, 1992). It is built upon the real-time kernel pSOS (Software Components, 1986) which provides a number of basic real-time kernel functions.…”

Section: Target Systemmentioning

confidence: 99%

A synthetic workload for a distributed real-time system

Kiskis

Shin

1996

Real-Time Systems

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In this paper, we describe the design and implementation of a synthetic workload (SW) for a distributed real-time system. A SW is a set of parameterized synthetic or artificial programs which serve as the workload for a system under study. The parameterized nature of the programs allows the user to change their behavior to create different resource demands on the system. The SW is easy to use, flexible, and can be representative of a real-time workload. The SW consists of a driver and a set of synthetic tasks. The synthetic tasks are generated by a synthetic workload generator (SWG) from the user's specification written in SWSL, a synthetic workload specification language. We describe the design goals of our SW and discuss its software structure and how it meets these goals.

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Section: Target Systemmentioning

confidence: 99%

A synthetic workload for a distributed real-time system

Kiskis

Shin

1996

Real-Time Systems

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“…Unfortunately, most conventional RTOSs are not applicable to small-memory embedded controllers. Commercial RTOSs like pSOS [31], QNX [9], and VxWorks [35], as well as research RTOSs like HARTOS [27], the Spring Kernel [29], Harmony [7], and RT-Mach [33] collectively cover a wide range of platforms, from stand-alone systems to multiprocessors and distributed systems. However, most of these RTOSs were designed with relatively powerful systems in mind: processors with several megabytes of memory and networks with at least tens of Mbit/s bandwidth.…”

Section: Introductionmentioning

confidence: 99%

EMERALDS: a small-memory real-time microkernel

Zuberi

Shin

2001

IIEEE Trans. Software Eng.

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EMERALDS (Extensible Microkernel for Embedded, ReALtime, Distributed Systems) is a real-time microkernel designed for small-memory embedded applications. These applications must run on slow (15-25MHz) processors with just 32-128 kbytes of memory, either to keep production costs down in mass-produced systems or to keep weight and power consumption low. To be feasible for such applications, the OS must not only be small in size (less than 20 kbytes), but also have low-overhead kernel services. Unlike commercial embedded OSs which rely on carefully-crafted code to achieve efficiency, EMERALDS takes the approach of redesigning the basic OS services of task scheduling, synchronization, communication, and system call mechanism by using characteristics found in small-memory embedded systems, such as small code size and a priori knowledge of task execution and communication patterns. With these new schemes, the overheads of various OS services are reduced 20-40% without compromising any OS functionality.

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Fundamental issues in testing distributed real-time systems

Schütz

1994

Real-Time Syst

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A distributed real-time operating system

Cited by 24 publications

References 7 publications

A synthetic workload for a distributed real-time system

A synthetic workload for a distributed real-time system

EMERALDS: a small-memory real-time microkernel

Fundamental issues in testing distributed real-time systems

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