Research Perspectives and Case Studies in System Test and Diagnosis by M. Campieri, Hardcover | Indigo Chapters

System level testing is becoming increasingly important. It is driven by the incessant march of complexity ... which is forcing us to renew our thinking on the processes and procedures that we apply to test and diagnosis of systems. In fact, the complexity defines the system itself which, for our purposes, is ¿any aggregation of related elements that together form an entity of sufficient complexity for which it is impractical to treat all of the elements at the lowest level of detail . System approaches embody the partitioning of problems into smaller inter-related subsystems that will be solved together. Thus, words like hierarchical, dependence, inference, model, and partitioning are frequent throughout this text. Each of the authors deals with the complexity issue in a similar fashion, but the real value in a collected work such as this is in the subtle differences that may lead to synthesized approaches that allow even more progress. The works included in this volume are an outgrowth of the 2nd International Workshop on System Test and Diagnosis held in Alexandria, Virginia in April 1998. The first such workshop was held in Freiburg, Germany, six years earlier. In the current workshop nearly 50 experts from around the world struggled over issues concerning the subject... In this volume, a select group of workshop participants was invited to provide a chapter that expanded their workshop presentations and incorporated their workshop interactions... While we have attempted to present the work as one volume and requested some revision to the work, the content of the individual chapters was not edited significantly. Consequently, you will see different approaches to solving the same problems and occasional disagreement between authors as to definitions or the importance of factors. ... The works collected in this volume represent the state-of-the-art in system test and diagnosis, and the authors are at the leading edge of that science...". From the Preface220.951220.95John W. Sheppard04812794-BFD8-4230-8A27-89C66F8EFCA0978079238269097807923826990007118, 194.06TCHardcoverCouverture rigide8D4ACFF2EAEC4D3D90A9F7EB1633857BengSpringer USSpringer27325.4235155125.4235155111998-10-01T04:00:00ZEdf And Related AlgorithmsDeadline Scheduling For Real-time SystemsP10116ReferenceCOMPGEN01SComputers GeneralCOM000000, COM011000, COM043000Artificial IntelligenceBooks > Computers > Software > Operating Systemshttps://dynamic. indigoimages. ca/books/0792382692.jpg?scaleup=true&width=600&quality=85&lang=enhttps://dynamic. indigoimages. ca/books/0792382692.jpg?scaleup=true&width=600&quality=85&lang=frhttps://www. indigo. ca/en-ca/deadline-scheduling-for-real-time-systems-edf-and-related-algorithms/9780792382690.htmlhttps://www. indigo. ca/fr-ca/deadline-scheduling-for-real-time-systems-edf-and-related-algorithms/9780792382690.htmlMany real-time systems rely on static scheduling algorithms. This includes cyclic scheduling, rate monotonic scheduling and fixed schedules created by off-line scheduling techniques such as dynamic programming, heuristic search, and simulated annealing. However, for many real-time systems, static scheduling algorithms are quite restrictive and inflexible. For example, highly automated agile manufacturing, command, control and communications, and distributed real-time multimedia applications all operate over long lifetimes and in highly non-deterministic environments. Dynamic real-time scheduling algorithms are more appropriate for these systems and are used in such systems. Many of these algorithms are based on earliest deadline first (EDF) policies. There exists a wealth of literature on EDF-based scheduling with many extensions to deal with sophisticated issues such as precedence constraints, resource requirements, system overload, multi-processors, and distributed systems. Deadline Scheduling for Real-Time Systems: EDF and Related Algorithms aims at collecting a significant body of knowledge on EDF scheduling for real-time systems, but it does not try to be all-inclusive (the literature is too extensive). The book primarily presents the algorithms and associated analysis, but guidelines, rules, and implementation considerations are also discussed, especially for the more complicated situations where mathematical analysis is difficult. In general, it is very difficult to codify and taxonomize scheduling knowledge because there are many performance metrics, task characteristics, and system configurations. Also, adding to the complexity is the fact that a variety of algorithms have been designed for different combinations of these considerations. In spite of the recent advances there are still gaps in the solution space and there is a need to integrate the available solutions. For example, a list of issues to consider | Research Perspectives and Case | Research Perspectives and Case Studies in System Test and Diagnosis by M. Campieri, Hardcover | Indigo Chapters