Adaptive disk spin—down for mobile computers
Mobile Networks and Applications
Comparing System-Level Power Management Policies
IEEE Design & Test
Adaptive Disk Spin-down Policies for Mobile Computers
MLICS '95 Proceedings of the 2nd Symposium on Mobile and Location-Independent Computing
Modeling Hard-Disk Power Consumption
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
A superblock-based flash translation layer for NAND flash memory
EMSOFT '06 Proceedings of the 6th ACM & IEEE International conference on Embedded software
A log buffer-based flash translation layer using fully-associative sector translation
ACM Transactions on Embedded Computing Systems (TECS)
Energy-aware data compression for multi-level cell (MLC) flash memory
Proceedings of the 44th annual Design Automation Conference
Hard drive power consumption uncovered
ACM SIGMETRICS Performance Evaluation Review
LAST: locality-aware sector translation for NAND flash memory-based storage systems
ACM SIGOPS Operating Systems Review
Proceedings of the 36th annual international symposium on Computer architecture
Power-reduction techniques for data-center storage systems
ACM Computing Surveys (CSUR)
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Power consumption now becomes the most critical performance limiting factor to solid state disk (SSD) in embedded systems. It is imperative to devise design methods and architectures for power efficient SSD designs. In our work, we present the first step towards low power SSD design, i.e., power estimation of SSD. We present a practical approach of SSD power estimation which tries to keep the advantage of real measurement, i.e., accuracy, while overcoming its limitations, i.e., long execution time and lack of repeatability (and high cost) by a trace-based simulation. Since it is based on real measurements, it takes into account the power consumption of SSD controller as well as that of Flash memories. We show the effectiveness of the presented method in designing a dynamic power management policy for SSD.