SAF: States aware fully associative FTL for multitasking environment

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

Nowadays, NAND flash memory is begin widely used for data storage purposes in all types of digital devices such as in handheld devices like; MP3 players, mobile phones, and digital cameras or in large scale servers. Reasons of so much popularity of flash memory are its characteristics; low power consumption, nonvolatility, high performance, shock resistance and portability. However due to some of its hardware characteristics, a software layer called flash translation layer (FTL) is used between file system and flash memory. We propose a new FTL algorithm called SAF. Compared to the previous FTL algorithm, SAF shows higher performance. We also provide performance comparison results of our implementation of SAF and previous algorithm FAST.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
DOIs
StatePublished - 2016

Publication series

NameStudies in Computational Intelligence
Volume614
ISSN (Print)1860-949X

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