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Titlebook: Embedded and Ubiquitous Computing; IFIP International C Tei-Wei Kuo,Edwin Sha,Zili Shao Conference proceedings 2007 Springer-Verlag Berlin

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Energy Efficient Scheduling for Real-Time Systems with Mixed Workloadroaches, the SS-DVS does not need to know the workload and the worst case execution time of aperiodic tasks in advance. Experimental results show that the proposed SS-DVS obtains better energy reduction (17% ~ 22%) while maintaining the same response time compared to existing approaches.
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Compiler Support for Dynamic Pipeline Scaling is exploited to devise an analytical model to assess the cost of enabling DPS mechanism. As a consequence we can determine the switching timing between pipeline modes at compiler time without causing significant run-time overhead. The experimental result shows that our approach is effective in reducing energy consumption.
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A Server-Side Pre-linking Mechanism for Updating Embedded Clients Dynamicallye for update components. Power consumption can be reduced as well. Performance evaluation shows that compared with the approach of Linux loadable kernel modules, the size of update components can be reduced about 14-35% and the overheads in embedded clients are minimal.
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A Software Framework for Energy and Performance Tradeoff in Fixed-Priority Hard Real-Time Embedded Sned for energy performance tradeoff. The problem of selecting the optimal hardware configuration and voltage/frequency parameters is formulated to achieve maximal energy savings and meet the deadline constraint simultaneously. Through a case study, the effectiveness of DEPS has been validated.
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