System-level integrated power management for handheld systems
Microprocessors & Microsystems
Predictive-flow-queue-based energy optimization for gigabit ethernet controllers
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Energy reduction techniques for systems with non-DVS components
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Supervised learning based power management for multicore processors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Energy-aware packet and task co-scheduling for embedded systems
EMSOFT '10 Proceedings of the tenth ACM international conference on Embedded software
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Reducing energy consumption is an important consideration in embedded real-time system development. This work examines systems that contain a DVFS managed CPU executing packet producing tasks and a DPM-controlled network interface. We introduce a novel approach to minimize energy consumed by the network resource on such a system, through careful selection of voltage and frequency levels on the CPU. Contrary to existing claims which state that DVFS should not be employed when the CPU is not a significant consumer of energy, we show that our DVFS technique can reduce system energy by as much as 35%, even when the CPU energy consumption is negligible. Furthermore, we motivate the need to balance the CPU and network energy and present two techniques to do so. One is based on off-line analysis and the other is a conservative on-line approach. We then validate the proposed methods using both simulation and an implementation in the Linux kernel.