1,142 research outputs found
Study On Endurance Of Flash Memory Ssds
Flash memory promises to revolutionize storage systems because of its massive performance gains, ruggedness, large decrease in power usage and physical space requirements, but it is not a direct replacement for magnetic hard disks. Flash memory possesses fundamentally different characteristics and in order to fully utilize the positive aspects of flash memory, we must engineer around its unique limitations. The primary limitations are lack of in-place updates, the asymmetry between the sizes of the write and erase operations, and the limited endurance of flash memory cells. This leads to the need for efficient methods for block cleaning, combating write amplification and performing wear leveling. These are fundamental attributes of flash memory and will always need to be understood and efficiently managed to produce an efficient and high performance storage system.
Our goal in this work is to provide analysis and algorithms for efficiently managing data storage for endurance in flash memory. We present update codes, a class of floating codes, which encodes data updates as flash memory cell increments that results in reduced block erases and longer lifespan of flash memory, and provides a new algorithm for constructing optimal floating codes. We also analyze the theoretically possible limits of write amplification reduction and minimization by using offline workloads. We give an estimation of the minimal write amplification by a workload decomposition algorithm and find that write amplification can be pushed to zero with relatively low over-provisioning. Additionally, we give simple, efficient and practical algorithms that are effective in reducing write amplification and performing wear leveling. Finally, we present a quantitative model of wear levels in flash memory by constructing a difference equation that gives erase counts of a block with workload, wear leveling strategy and SSD configuration as parameters
A Cache Management Strategy to Replace Wear Leveling Techniques for Embedded Flash Memory
Prices of NAND flash memories are falling drastically due to market growth
and fabrication process mastering while research efforts from a technological
point of view in terms of endurance and density are very active. NAND flash
memories are becoming the most important storage media in mobile computing and
tend to be less confined to this area. The major constraint of such a
technology is the limited number of possible erase operations per block which
tend to quickly provoke memory wear out. To cope with this issue,
state-of-the-art solutions implement wear leveling policies to level the wear
out of the memory and so increase its lifetime. These policies are integrated
into the Flash Translation Layer (FTL) and greatly contribute in decreasing the
write performance. In this paper, we propose to reduce the flash memory wear
out problem and improve its performance by absorbing the erase operations
throughout a dual cache system replacing FTL wear leveling and garbage
collection services. We justify this idea by proposing a first performance
evaluation of an exclusively cache based system for embedded flash memories.
Unlike wear leveling schemes, the proposed cache solution reduces the total
number of erase operations reported on the media by absorbing them in the cache
for workloads expressing a minimal global sequential rate.Comment: Ce papier a obtenu le "Best Paper Award" dans le "Computer System
track" nombre de page: 8; International Symposium on Performance Evaluation
of Computer & Telecommunication Systems, La Haye : Netherlands (2011
Wear Minimization for Cuckoo Hashing: How Not to Throw a Lot of Eggs into One Basket
We study wear-leveling techniques for cuckoo hashing, showing that it is
possible to achieve a memory wear bound of after the
insertion of items into a table of size for a suitable constant
using cuckoo hashing. Moreover, we study our cuckoo hashing method empirically,
showing that it significantly improves on the memory wear performance for
classic cuckoo hashing and linear probing in practice.Comment: 13 pages, 1 table, 7 figures; to appear at the 13th Symposium on
Experimental Algorithms (SEA 2014
Flash-memories in Space Applications: Trends and Challenges
Nowadays space applications are provided with a processing power absolutely overcoming the one available just a few years ago. Typical mission-critical space system applications include also the issue of solid-state recorder(s). Flash-memories are nonvolatile, shock-resistant and power-economic, but in turn have different drawbacks. A solid-state recorder for space applications should satisfy many different constraints especially because of the issues related to radiations: proper countermeasures are needed, together with EDAC and testing techniques in order to improve the dependability of the whole system. Different and quite often contrasting dimensions need to be explored during the design of a flash-memory based solid- state recorder. In particular, we shall explore the most important flash-memory design dimensions and trade-offs to tackle during the design of flash-based hard disks for space application
FLARE: A design environment for FLASH-based space applications
Designing a mass-memory device (i.e., a solid-state recorder) is one of the typical issues of mission-critical space system applications. Flash-memories could be used for this goal: a huge number of parameters and trade-offs need to be explored. Flash-memories are nonvolatile, shock-resistant and power-economic, but in turn have different drawback: e.g., their cost is higher than normal hard disk and the number of erasure cycles is bounded. Moreover space environment presents various issues especially because of radiations: different and quite often contrasting dimensions need to be explored during the design of a flash-memory based solid-state recorder. No systematic approach has so far been proposed to consider them all as a whole: as a consequence a novel design environment currently under development is aimed at supporting the design of flash-based mass-memory device for space application
Exploring Design Dimensions in Flash-based Mass-memory Devices
Mission-critical space system applications present several issues: a typical one is the design of a mass-memory device (i.e., a solid- state recorder). This goal could be accomplished by using flash- memories: the exploration of a huge number of parameters and trade-offs is needed. On the one hand flash-memories are nonvolatile, shock-resistant and power-economic, but on the other hand their cost is higher than normal hard disk, the number of erasure cycles is bounded and other different drawbacks have to be considered. In addition space environment presents various issues especially because of radiations: the design of a flash- memory based solid-state recorder implies the exploration of different and quite often contrasting dimensions. No systematic approach has so far been proposed to consider them all as a whole: as a consequence the design of flash-based mass-memory device for space applications is intended to be supported by a novel design environment currently under development and refinemen
On Benchmarking Embedded Linux Flash File Systems
Due to its attractive characteristics in terms of performance, weight and
power consumption, NAND flash memory became the main non volatile memory (NVM)
in embedded systems. Those NVMs also present some specific
characteristics/constraints: good but asymmetric I/O performance, limited
lifetime, write/erase granularity asymmetry, etc. Those peculiarities are
either managed in hardware for flash disks (SSDs, SD cards, USB sticks, etc.)
or in software for raw embedded flash chips. When managed in software, flash
algorithms and structures are implemented in a specific flash file system
(FFS). In this paper, we present a performance study of the most widely used
FFSs in embedded Linux: JFFS2, UBIFS,and YAFFS. We show some very particular
behaviors and large performance disparities for tested FFS operations such as
mounting, copying, and searching file trees, compression, etc.Comment: Embed With Linux, Lorient : France (2012
Dynamic Virtual Page-based Flash Translation Layer with Novel Hot Data Identification and Adaptive Parallelism Management
Solid-state disks (SSDs) tend to replace traditional motor-driven hard disks in high-end storage devices in past few decades. However, various inherent features, such as out-of-place update [resorting to garbage collection (GC)] and limited endurance (resorting to wear leveling), need to be reduced to a large extent before that day comes. Both the GC and wear leveling fundamentally depend on hot data identification (HDI). In this paper, we propose a hot data-aware flash translation layer architecture based on a dynamic virtual page (DVPFTL) so as to improve the performance and lifetime of NAND flash devices. First, we develop a generalized dual layer HDI (DL-HDI) framework, which is composed of a cold data pre-classifier and a hot data post-identifier. Those can efficiently follow the frequency and recency of information access. Then, we design an adaptive parallelism manager (APM) to assign the clustered data chunks to distinct resident blocks in the SSD so as to prolong its endurance. Finally, the experimental results from our realized SSD prototype indicate that the DVPFTL scheme has reliably improved the parallelizability and endurance of NAND flash devices with improved GC-costs, compared with related works.Peer reviewe
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