Real-time systems are now used in a wide variety of applications. Conventionally, they were configured at design to perform a given set of tasks and could not readily adapt to dynamic situations. The concept of imprecise and approximate computation has emerged as a promising approach to providing scheduling flexibility and enhanced dependability in dynamic real-time systems.
The concept can be utilized in a wide variety of applications, including signal processing, machine vision, databases, networking, etc. For those who wish to build dynamic real-time systems which must deal safely with resource unavailability while continuing to operate, leading to situations where computations may not be carried through to completion, the techniques of imprecise and approximate computation facilitate the generation of partial results that may enable the system to operate safely and avert catastrophe.
Audience: Of special interest to researchers. May be used as a supplementary text in courses on real-time systems.

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Editors and Affiliations

Xerox Corporation, USA

Swaminathan Natarajan

Bibliographic Information

Book Title: Imprecise and Approximate Computation
Editors: Swaminathan Natarajan
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/b102247
Publisher: Springer New York, NY
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1995
Hardcover ISBN: 978-0-7923-9579-9Published: 30 June 1995
Softcover ISBN: 978-1-4757-7009-4Published: 28 March 2013
eBook ISBN: 978-0-585-26870-5Published: 26 August 2007
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XX, 178
Topics: Special Purpose and Application-Based Systems, Computer Science, general

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Table of contents (9 chapters)

Front Matter

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