9780387237015-0387237011-Soft Real-Time Systems: Predictability vs. Efficiency: Predictability vs. Efficiency (Series in Computer Science)

Soft Real-Time Systems: Predictability vs. Efficiency: Predictability vs. Efficiency (Series in Computer Science)

ISBN-13: 9780387237015
ISBN-10: 0387237011
Edition: 2005
Author: Giorgio C Buttazzo, Giuseppe Lipari, Luca Abeni, Marco Caccamo
Publication date: 2005
Publisher: Springer
Format: Hardcover 283 pages
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Book details

ISBN-13: 9780387237015
ISBN-10: 0387237011
Edition: 2005
Author: Giorgio C Buttazzo, Giuseppe Lipari, Luca Abeni, Marco Caccamo
Publication date: 2005
Publisher: Springer
Format: Hardcover 283 pages

Summary

Soft Real-Time Systems: Predictability vs. Efficiency: Predictability vs. Efficiency (Series in Computer Science) (ISBN-13: 9780387237015 and ISBN-10: 0387237011), written by authors Giorgio C Buttazzo, Giuseppe Lipari, Luca Abeni, Marco Caccamo, was published by Springer in 2005. With an overall rating of 4.4 stars, it's a notable title among other books. You can easily purchase or rent Soft Real-Time Systems: Predictability vs. Efficiency: Predictability vs. Efficiency (Series in Computer Science) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.42.

Description

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.

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