Research on real-time Java technology has been prolific over the past decade, leading to a large number of corresponding hardware and software solutions, and frameworks for distributed and embedded real-time Java systems.  This book is aimed primarily at researchers in real-time embedded systems, particularly those who wish to understand the current state of the art in using Java in this domain.  Much of the work in real-time distributed, embedded and real-time Java has focused on the Real-time Specification for Java (RTSJ) as the underlying base technology, and consequently many of the Chapters in this book address issues with, or solve problems using, this framework.Describes innovative techniques in: scheduling, memory management, quality of service and communication systems supporting real-time Java applications;Includes coverage of multiprocessor embedded systems and parallel programming;Discusses state-of-the-art resource management for embedded systems, including Java’s real-time garbage collection and parallel collectors;Considers hardware support for the execution of Java programs including how programs can interact with functional accelerators;Includes coverage of Safety Critical Java for development of safety critical embedded systems.

Research on real-time Java technology has been prolific over the past decade, leading to a large number of corresponding hardware and software solutions, and frameworks for distributed and embedded real-time Java systems.  This book is aimed primarily at researchers in real-time embedded systems, particularly those who wish to understand the current state of the art in using Java in this domain.  Much of the work in real-time distributed, embedded and real-time Java has focused on the Real-time Specification for Java (RTSJ) as the underlying base technology, and consequently many of the Chapters in this book address issues with, or solve problems using, this framework.

Describes innovative techniques in: scheduling, memory management, quality of service and communication systems supporting real-time Java applications;Includes coverage of multiprocessor embedded systems and parallel programming;Discusses state-of-the-art resource management for embedded systems, including Java’s real-time garbage collection and parallel collectors;Considers hardware support for the execution of Java programs including how programs can interact with functional accelerators;Includes coverage of Safety Critical Java for development of safety critical embedded systems.

This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems. Self‐organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self‐organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self‐X features such as self-configuration, self‐optimization, self‐adaptation, self‐healing and self‐protection.

This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems. Self

‐organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self‐organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self‐X features such as self-configuration, self‐optimization, self‐adaptation, self‐healing and self‐protection.

This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems. Self‐organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self‐organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self‐X features such as self-configuration, self‐optimization, self‐adaptation, self‐healing and self‐protection.

Research on real-time Java technology has been prolific over the past decade, leading to a large number of corresponding hardware and software solutions, and frameworks for distributed and embedded real-time Java systems.  This book is aimed primarily at researchers in real-time embedded systems, particularly those who wish to understand the current state of the art in using Java in this domain.  Much of the work in real-time distributed, embedded and real-time Java has focused on the Real-time Specification for Java (RTSJ) as the underlying base technology, and consequently many of the Chapters in this book address issues with, or solve problems using, this framework.Describes innovative techniques in: scheduling, memory management, quality of service and communication systems supporting real-time Java applications;Includes coverage of multiprocessor embedded systems and parallel programming;Discusses state-of-the-art resource management for embedded systems, including Java’s real-time garbage collection and parallel collectors;Considers hardware support for the execution of Java programs including how programs can interact with functional accelerators;Includes coverage of Safety Critical Java for development of safety critical embedded systems.

Research on real-time Java technology has been prolific over the past decade, leading to a large number of corresponding hardware and software solutions, and frameworks for distributed and embedded real-time Java systems.  This book is aimed primarily at researchers in real-time embedded systems, particularly those who wish to understand the current state of the art in using Java in this domain.  Much of the work in real-time distributed, embedded and real-time Java has focused on the Real-time Specification for Java (RTSJ) as the underlying base technology, and consequently many of the Chapters in this book address issues with, or solve problems using, this framework.

Describes innovative techniques in: scheduling, memory management, quality of service and communication systems supporting real-time Java applications;Includes coverage of multiprocessor embedded systems and parallel programming;Discusses state-of-the-art resource management for embedded systems, including Java’s real-time garbage collection and parallel collectors;Considers hardware support for the execution of Java programs including how programs can interact with functional accelerators;Includes coverage of Safety Critical Java for development of safety critical embedded systems.

This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems. Self‐organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self‐organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self‐X features such as self-configuration, self‐optimization, self‐adaptation, self‐healing and self‐protection.

This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems. Self

‐organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self‐organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self‐X features such as self-configuration, self‐optimization, self‐adaptation, self‐healing and self‐protection.

This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems. Self‐organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self‐organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self‐X features such as self-configuration, self‐optimization, self‐adaptation, self‐healing and self‐protection.