Performance Evaluation of Flash File Systems

08/31/2012
by   Pierre Olivier, et al.
0

Today, flash memory are strongly used in the embedded system domain. NAND flash memories are the building block of main secondary storage systems. Such memories present many benefits in terms of data density, I/O performance, shock resistance and power consumption. Nevertheless, flash does not come without constraints: the write / erase granularity asymmetry and the limited lifetime bring the need for specific management. This can be done through the operating system using dedicated Flash File Systems (FFSs). In this document, we present general concepts about FFSs, and implementations example that are JFFS2, YAFFS2 and UBIFS, the most commonly used flash file systems. Then we give performance evaluation results for these FFSs.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

08/31/2012

On Benchmarking Embedded Linux Flash File Systems

Due to its attractive characteristics in terms of performance, weight an...
12/06/2013

Towards the Framework of the File Systems Performance Evaluation Techniques and the Taxonomy of Replay Traces

This is the era of High Performance Computing (HPC). There is a great de...
12/06/2013

File System - A Component of Operating System

The file system provides the mechanism for online storage and access to ...
07/27/2019

SSDFS: Towards LFS Flash-Friendly File System without GC operation

Solid state drives have a number of interesting characteristics. However...
03/31/2020

A File System For Write-Once Media

A file system standard for use with write-once media such as digital com...
05/14/2021

NVCache: A Plug-and-Play NVMM-based I/O Booster for Legacy Systems

This paper introduces NVCache, an approach that uses a non-volatile main...
01/17/2019

Proposition of an implementation framework enabling benchmarking of Holonic Manufacturing Systems

Performing an overview of the benchmarking initiatives oriented towards ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.