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Foundations of Dependable Computing
Foundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications. Approaches to implementing support mechanisms and to incorporating additional appropriate levels of fault detection and fault tolerance at the processor, network, and operating system level are presented. A primary concern at these levels is balancing cost and performance against coverage and overall dependability. As these chapters demonstrate, low overhead, practical solutions are attainable and not necessarily incompatible with performance considerations. The section on innovative compiler support, in particular, d...
Foundations of Real-Time Computing: Scheduling and Resource Management
This volume contains a selection of papers that focus on the state-of the-art in real-time scheduling and resource management. Preliminary versions of these papers were presented at a workshop on the foundations of real-time computing sponsored by the Office of Naval Research in October, 1990 in Washington, D.C. A companion volume by the title Foundations of Real-Time Computing: Fonnal Specifications and Methods complements this book by addressing many of the most advanced approaches currently being investigated in the arena of formal specification and verification of real-time systems. Together, these two texts provide a comprehensive snapshot of current insights into the process of designi...
Foundations of Knowledge Acquisition
One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of curre...
Research in Progress
None
Networking and Information Technology Research and Development
This annual report on the multi-agency Networking and Information Technology R&D (NITRD) Program describes activities funded by Federal NITRD agencies in the areas of advanced networking and information technologies and offers a brief technical outline of the 2006 budget request for the NITRD Program in the following major research areas: high-end computing applications and infrastructure; high-end computing R&D; large-scale networking; human-computer interaction and information management; high-confidence software and systems; software design and productivity; and social, economic, and workforce implications of IT and IT workforce development.
Foundations of Knowledge Acquisition
One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of curre...
Index to IEEE Publications
Issues for 1973- cover the entire IEEE technical literature.
Parallel Algorithm Derivation and Program Transformation
This book contains selected papers from the ONR Workshop on Parallel Algorithm Design and Program Transformation that took place at New York University, Courant Institute, from Aug. 30 to Sept. 1, 1991. The aim of the workshop was to bring together computer scientists in transformational programming and parallel algorithm design in order to encourage a sharing of ideas that might benefit both communities. It was hoped that exposurt: to algorithm design methods developed within the algorithm community would stimulate progress in software development for parallel architectures within the transformational community. It was also hoped that exposure to syntax directed methods and pragmatic progra...
