Proceedings of the 2006 International Conference on Compilers, Architecture and Synthesis for Embedded Systems 2006
DOI: 10.1145/1176760.1176806
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Methods for power optimization in distributed embedded systems with real-time requirements

Abstract: Dynamic voltage scaling and sleep state control have been shown to be extremely effective in reducing energy consumption in CMOS circuits. Though plenty of research papers have studied the application of these techniques in real-time embedded system design through intelligent task and/or voltage scheduling, most of these results are limited to relatively simple real-time application models. In this paper, a comprehensive real-time application model including periodic, sporadic and bursty tasks as well as distr… Show more

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Cited by 8 publications
(4 citation statements)
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“…Applications or tasks with variable, different behaviours, and platforms that can adapt/reconfigure are considered. For example, [30] proposes a method to reduce energy consumption in a system executing a mix of periodic, aperiodic, and bursty tasks. [36] targets a system with a unified support for hardware, and operating point configuration methods.…”
Section: Run-time Energy Managementmentioning
confidence: 99%
“…Applications or tasks with variable, different behaviours, and platforms that can adapt/reconfigure are considered. For example, [30] proposes a method to reduce energy consumption in a system executing a mix of periodic, aperiodic, and bursty tasks. [36] targets a system with a unified support for hardware, and operating point configuration methods.…”
Section: Run-time Energy Managementmentioning
confidence: 99%
“…Works addressing voltage scaling for hard real-time task sets are [1] and [2], [3], and [4], whereof the former two works consider periodic task sets only, and the latter two are able to optimise for other occurrence behaviour as well. Nevertheless, all four works neglect transition costs for mode switching.…”
Section: Dynamic Voltage Scalingmentioning
confidence: 99%
“…Some well-established analytical methods and tools potentially interacting with complex analysis scenarios include design space exploration and sensitive analysis [12] [13].…”
Section: Complex Evaluation Scenariosmentioning
confidence: 99%
“…It allows the system designer to assess the system-level impact of changes in nonfunctional properties of individual hardware and software components. Particularly for scheduling-aware analysis techniques, there is a number of works providing search algorithms to onedimensional and multidimensional (simultaneous variations of a set of non-functional properties) sensitivity analysis [13]. Although the sensitivity analysis process may be fully delegated to analysis tools, there is an important gap in MDE for addressing the correct parameterization (e.g., determination of dependent, independent, and critical parameters) and solution selection from a modeling viewpoint:…”
Section: Issue 2: "How Can We Express the Relationships Between Diffementioning
confidence: 99%