Soft Real-Time Systems: Predictability vs. Efficiency

Giorgio C Buttazzo

ISBN 10: 0387237011 / ISBN 13: 9780387237015

Published by Springer US, Springer New York Mai 2005, 2005

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.

Seller Inventory # 9780387237015

Bibliographic Details

• Title: Soft Real-Time Systems: Predictability vs. Efficiency
• Publisher: Springer US, Springer New York Mai 2005
• Publication Date: 2005
• Language: English
• ISBN 10: 0387237011
• ISBN 13: 9780387237015
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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.