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Soft Real-Time Systems: Predictability vs. Efficiency: Predictability vs. Efficiency (Series in Computer Science) Hardback - 2005
by Buttazzo, Giorgio C
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- Hardback
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Details
- Title Soft Real-Time Systems: Predictability vs. Efficiency: Predictability vs. Efficiency (Series in Computer Science)
- Author Buttazzo, Giorgio C
- Binding Hardback
- Edition 2005
- Condition Used: Good
- Pages 275
- Volumes 1
- Language ENG
- Publisher Springer, New York, NY
- Publication date 2005-05-06
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # SONG0387237011
- ISBN 9780387237015 / 0387237011
- Weight 1.11 lbs (0.50 kg)
- Dimensions 9.35 x 6.02 x 0.82 in (23.75 x 15.29 x 2.08 cm)
- Size 6.02x0.82x9.35
- Category Computers - Operating Systems
- Library of Congress subjects Operating systems (Computers), Real-time data processing
- Library of Congress Catalogue Number 2005040249
- Dewey Decimal Code 004.33
- Quantity available 1
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From the publisher
First line
In this chapter we explain the reasons why soft real-time computing is being deeply investigated during the last years for supporting a set of application domains for which the hard real-time approach is not suited.
From the rear cover
Hard real-time systems are very predictable, but not sufficiently flexible to adapt to dynamic situations. They are built under pessimistic assumptions to cope with worst-case scenarios, so they often waste resources. Soft real-time systems are built to reduce resource consumption, tolerate overloads and adapt to system changes. They are also more suited to novel applications of real-time technology, such as multimedia systems, monitoring apparatuses, telecommunication networks, mobile robotics, virtual reality, and interactive computer games. This unique monograph provides concrete methods for building flexible, predictable soft real-time systems, in order to optimize resources and reduce costs. It is an invaluable reference for developers, as well as researchers and students in Computer Science.
