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STAFF: State Transition Applied Fast Flash Translation Layer

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Organic and Pervasive Computing – ARCS 2004 (ARCS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2981))

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Abstract

Recently, flash memory is widely used in embedded applications since it has strong points: non-volatility, fast access speed, shock resistance, and low power consumption. However, due to its hardware characteristics, it requires a software layer called FTL (flash translation layer). The main functionality of FTL is to convert logical addresses from the host to physical addresses of flash memory. We present a new FTL algorithm called STAFF (State Transition Applied Fast Flash Translation Layer). Compared to the previous FTL algorithms, STAFF shows higher performance and requires less memory. We provide performance results based on our implementation of STAFF and previous FTL algorithms.

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© 2004 Springer-Verlag Berlin Heidelberg

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Chung, TS., Park, S., Jung, MJ., Kim, B. (2004). STAFF: State Transition Applied Fast Flash Translation Layer. In: Müller-Schloer, C., Ungerer, T., Bauer, B. (eds) Organic and Pervasive Computing – ARCS 2004. ARCS 2004. Lecture Notes in Computer Science, vol 2981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24714-2_16

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  • DOI: https://doi.org/10.1007/978-3-540-24714-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21238-6

  • Online ISBN: 978-3-540-24714-2

  • eBook Packages: Springer Book Archive

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