Soft Real-Time Systems [electronic resource] : Predictability vs. Efficiency /
Buttazzo, Giorgio.author.
Lipari, Giuseppe.author.
Abeni, Luca.author.
Caccamo, Marco.author.
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.
Description based upon print version of record.
Includes bibliographical references and index.
Overload Management -- Temporal Protection -- Multi-Thread Applications -- Synchronization Protocols for Hard and Soft Real-Time Systems -- Resource Reclaiming -- Quality of Service Management -- Feedback Scheduling -- Stochastic Scheduling.
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.
Information theory.
Operating systems (Computers).
Software engineering.
Multimedia systems.
Theory of Computation.
Operating Systems.
Software Engineering/Programming and Operating Systems.
Multimedia Information Systems.


Plenum series in computer science