Soft Real Time Systems Predictability Vs Efficiency
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Soft Real-Time Systems: Predictability vs. Efficiency
Author: Giorgio C Buttazzo
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-07-02
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.
Memory Controllers for Mixed-Time-Criticality Systems
This book discusses the design and performance analysis of SDRAM controllers that cater to both real-time and best-effort applications, i.e. mixed-time-criticality memory controllers. The authors describe the state of the art, and then focus on an architecture template for reconfigurable memory controllers that addresses effectively the quickly evolving set of SDRAM standards, in terms of worst-case timing and power analysis, as well as implementation. A prototype implementation of the controller in SystemC and synthesizable VHDL for an FPGA development board are used as a proof of concept of the architecture template.
Real-Time Applications with FreeRTOS
"Real-Time Applications with FreeRTOS" "Real-Time Applications with FreeRTOS" is a comprehensive guide designed to equip engineers, developers, and embedded systems architects with a deep, practical understanding of both real-time concepts and advanced FreeRTOS techniques. The book begins with a clear exposition of real-time computing fundamentals, examining the critical differences between hard, firm, and soft real-time constraints and their influence on embedded system architectures. Readers gain important theoretical insights into scheduling algorithms, timing analysis, and RTOS selection criteria, laying a solid foundation for working with time-sensitive embedded solutions. Building on this foundation, the book delves into the internal architecture of FreeRTOS, exploring its kernel design, task scheduling mechanisms, memory management strategies, and hardware abstraction layers. These chapters guide professionals through the intricacies of multi-threading, task management, and the implementation of advanced context switching, stack analysis, and low-power design. Inter-task synchronization and communication patterns are discussed in detail—including semaphores, mutexes, queues, event groups, and direct task notifications—providing clear strategies for managing concurrency and avoiding classical synchronization hazards like race conditions and deadlocks. Rounding out the text are practical chapters on interrupt processing, time management, testing, profiling, and real-world deployment. Advanced application patterns, including event-driven architectures, robust networking, security, cloud integration, and over-the-air updates, are carefully covered alongside optimization, scaling, and diagnostics techniques. Drawing on industrial case studies from automotive, automation, and IoT domains, "Real-Time Applications with FreeRTOS" offers actionable guidance to build robust, scalable, and secure embedded systems using one of the world's most popular real-time operating systems.