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Titlebook: Distributed Real-Time Systems; Theory and Practice K. Erciyes Textbook 2019 Springer Nature Switzerland AG 2019 Distributed computing.Real-

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Design of an Experimental Distributed Real-Time Kerneldule. The lower module has the Scheduler at the bottom and time and interrupt handling, task state managing, and input/output management as higher layers. The higher module consists of task synchronization and communication, high memory management, and task management layers.
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Uniprocessor-Dependent Task Schedulingeview basic scheduling algorithms for aperiodic tasks with deadlines and with precedence relationship between them but they do not share resources. We then revise protocols to solve the priority inversion problem when tasks share resources, in the second part of the chapter.
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The Commonwealth of the Bahamasstributed systems is to achieve fault tolerance which is a fundamental requirement from any real-time system. Also, balancing the load across the nodes of a DRTS improves performance. We review the main issues in a DRTs which are models, distributed real-time operating systems and the middleware and the real-time network in this chapter.
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https://doi.org/10.1057/9780230270565orithm then scheduling the assigned tasks in each processor, commonly using a known single processor algorithm. Global scheduling algorithms schedule tasks to processors using a single ready queue. We review these algorithms and then look at distributed scheduling and load balancing in distributed (real-time) systems.
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Textbook 2019 text addresses common challenges faced in software projects involving real-time systems, and presents a novel method for simply and effectively performing all of the software engineering steps. Each chapter opens with a discussion of the core concepts, together with a review of the relevant methods
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