Titlebook: Computer Performance Engineering; 15th European Worksh Rena Bakhshi,Paolo Ballarini,Anne Remke Conference proceedings 2018 Springer Nature

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https://doi.org/10.1057/9781137333001ion between the areas of real-time systems and performance engineering. We address probabilistic schedulability analysis of tasks in single-processor non-preemptive real-time systems. To?this end, we consider periodic tasks with offsets, scheduled by Fixed Priority?(FP) or Earliest Deadline First?(E

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https://doi.org/10.1007/978-1-349-25747-8o costly to examine directly. Valuable analysis depends on carefully constructed, well-founded models, which are very difficult for humans to create. To address this problem, we propose a framework for generating detailed, low-level models from high-level, block-diagram-style graphical models. Our a

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International Political Economy Seriesact with the destination, so it has to rely on the relays when it has a message to send. We assume that the source has a sequence of messages and it proposes them to relays one by one with a fixed reward for the first transmission for each message. We analyse a symmetric mixed strategy for this game

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The Elderly Today. 1: An Economic Audite applications the user is located at the center of a sphere where the interactive movie is projected, and she can look in different directions of the immersive world by tilting her head. The same technology can be used also to create different types of immersive content aimed at different goals..Th

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https://doi.org/10.1007/978-1-349-19093-5ng. However, the limitations of resources (e.g. battery life, computation power, bandwidth) of these devices are restricting the type of applications that can run on them. The restrictions can be overcome by allowing such devices to offload computation and run parts of an application in the powerful

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Extensions to Standard UML Notationium under certain conditions. From this a product-form solution follows directly for networks of such queues at equilibrium, by application of the reversed compound agent theorem (RCAT). The method is illustrated using small batches of sizes 1 and 2, as well as geometric sizes.

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