1,026 research outputs found

    A Survey on the Integration of NAND Flash Storage in the Design of File Systems and the Host Storage Software Stack

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    With the ever-increasing amount of data generate in the world, estimated to reach over 200 Zettabytes by 2025, pressure on efficient data storage systems is intensifying. The shift from HDD to flash-based SSD provides one of the most fundamental shifts in storage technology, increasing performance capabilities significantly. However, flash storage comes with different characteristics than prior HDD storage technology. Therefore, storage software was unsuitable for leveraging the capabilities of flash storage. As a result, a plethora of storage applications have been design to better integrate with flash storage and align with flash characteristics. In this literature study we evaluate the effect the introduction of flash storage has had on the design of file systems, which providing one of the most essential mechanisms for managing persistent storage. We analyze the mechanisms for effectively managing flash storage, managing overheads of introduced design requirements, and leverage the capabilities of flash storage. Numerous methods have been adopted in file systems, however prominently revolve around similar design decisions, adhering to the flash hardware constrains, and limiting software intervention. Future design of storage software remains prominent with the constant growth in flash-based storage devices and interfaces, providing an increasing possibility to enhance flash integration in the host storage software stack

    A Survey on the Integration of NAND Flash Storage in the Design of File Systems and the Host Storage Software Stack

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    With the ever-increasing amount of data generate in the world, estimated to reach over 200 Zettabytes by 2025, pressure on efficient data storage systems is intensifying. The shift from HDD to flash-based SSD provides one of the most fundamental shifts in storage technology, increasing performance capabilities significantly. However, flash storage comes with different characteristics than prior HDD storage technology. Therefore, storage software was unsuitable for leveraging the capabilities of flash storage. As a result, a plethora of storage applications have been design to better integrate with flash storage and align with flash characteristics. In this literature study we evaluate the effect the introduction of flash storage has had on the design of file systems, which providing one of the most essential mechanisms for managing persistent storage. We analyze the mechanisms for effectively managing flash storage, managing overheads of introduced design requirements, and leverage the capabilities of flash storage. Numerous methods have been adopted in file systems, however prominently revolve around similar design decisions, adhering to the flash hardware constrains, and limiting software intervention. Future design of storage software remains prominent with the constant growth in flash-based storage devices and interfaces, providing an increasing possibility to enhance flash integration in the host storage software stack

    Integration of Non-volatile Memory into Storage Hierarchy

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    In this dissertation, we present novel approaches for integrating non-volatile memory devices into storage hierarchy of a computer system. There are several types of non- volatile memory devices, such as flash memory, Phase Change Memory (PCM), Spin- transfer torque memory (STT-RAM). These devices have many appealing features for applications; however, they also offer several challenges. This dissertation is focused on how to efficiently integrate these non-volatile memories into existing memory and disk storage systems. This work is composed of two major parts. The first part investigates a main-memory system employing Phase Change Memory instead of traditional DRAM. Compared to DRAM, PCM has higher density and no static power consumption, which are very important factors for building large capacity memory systems. However, PCM has higher write latency and power consumption compared to read operations. Moreover, PCM has limited write endurance. To efficiently integrate PCM into a memory system, we have to solve the challenges brought by its expensive write operations. We propose new replacement policies and cache organizations for the last-level CPU cache, which can effectively reduce the write traffic to the PCM main memory. We evaluated our design with multiple workloads and configurations. The results show that the proposed approaches improve the lifetime and energy consumption of PCM significantly. The second part of the dissertation considers the design of a data/disk storage using non-volatile memories, e.g. flash memory, PCM and nonvolatile DIMMs. We consider multiple design options for utilizing the nonvolatile memories in the storage hierarchy. First, we consider a system that employs nonvolatile memories such as PCM or nonvolatile DIMMs on memory bus along with flash-based SSDs. We propose a hybrid file system, NVMFS, that manages both these devices. NVMFS exploits the nonvolatile memory to improve the characteristics of the write workload at the SSD. We satisfy most small random write requests on the fast nonvolatile DIMM and only do large and optimized writes on SSD. We also group data of similar update patterns together before writing to flash-SSD; as a result, we can effectively reduce the garbage collection overhead. We implemented a prototype of NVMFS in Linux and evaluated its performance through multiple benchmarks. Secondly, we consider the problem of using flash memory as a cache for a disk drive based storage system. Since SSDs are expensive, a few SSDs are designed to serve as a cache for a large number of disk drives. SSD cache space can be used for both read and write requests. In our design, we managed multiple flash-SSD devices directly at the cache layer without the help of RAID software. To ensure data reliability and cache space efficiency, we only duplicated dirty data on flash- SSDs. We also balanced the write endurance of different flash-SSDs. As a result, no single SSD will fail much earlier than the others. Thirdly, when using PCM-like devices only as data storage, itโ€™s possible to exploit memory management hardware resources to improve file system performance. However, in this case, PCM may share critical system resources such as the TLB, page table with DRAM which can potentially impact PCMโ€™s performance. To solve this problem, we proposed to employ superpages to reduce the pressure on memory management resources. As a result, the file system performance is further improved

    A Novel Simulation Methodology for Accelerating Reliability Assessment of SSDs

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    Dependability Assessment of NAND Flash-memory for Mission-critical Applications

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    It is a matter of fact that NAND flash memory devices are well established in consumer market. However, it is not true that the same architectures adopted in the consumer market are suitable for mission critical applications like space. In fact, USB flash drives, digital cameras, MP3 players are usually adopted to store "less significant" data which are not changing frequently (e.g., MP3s, pictures, etc.). Therefore, in spite of NAND flash's drawbacks, a modest complexity is usually needed in the logic of commercial flash drives. On the other hand, mission critical applications have different reliability requirements from commercial scenarios. Moreover, they are usually playing in a hostile environment (e.g., the space) which contributes to worsen all the issues. We aim at providing practical valuable guidelines, comparisons and tradeoffs among the huge number of dimensions of fault tolerant methodologies for NAND flash applied to critical environments. We hope that such guidelines will be useful for our ongoing research and for all the interested reader

    ์ƒ๋ณ€ํ™” ๋ฉ”๋ชจ๋ฆฌ ์‹œ์Šคํ…œ์˜ ๊ฐ„์„ญ ์˜ค๋ฅ˜ ์™„ํ™” ๋ฐ RMW ์„ฑ๋Šฅ ํ–ฅ์ƒ ๊ธฐ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021.8. ์ดํ˜์žฌ.Phase-change memory (PCM) announces the beginning of the new era of memory systems, owing to attractive characteristics. Many memory product manufacturers (e.g., Intel, SK Hynix, and Samsung) are developing related products. PCM can be applied to various circumstances; it is not simply limited to an extra-scale database. For example, PCM has a low standby power due to its non-volatility; hence, computation-intensive applications or mobile applications (i.e., long memory idle time) are suitable to run on PCM-based computing systems. Despite these fascinating features of PCM, PCM is still far from the general commercial market due to low reliability and long latency problems. In particular, low reliability is a painful problem for PCM in past decades. As the semiconductor process technology rapidly scales down over the years, DRAM reaches 10 nm class process technology. In addition, it is reported that the write disturbance error (WDE) would be a serious issue for PCM if it scales down below 54 nm class process technology. Therefore, addressing the problem of WDEs becomes essential to make PCM competitive to DRAM. To overcome this problem, this dissertation proposes a novel approach that can restore meta-stable cells on demand by levering two-level SRAM-based tables, thereby significantly reducing the number WDEs. Furthermore, a novel randomized approach is proposed to implement a replacement policy that originally requires hundreds of read ports on SRAM. The second problem of PCM is a long-latency compared to that of DRAM. In particular, PCM tries to enhance its throughput by adopting a larger transaction unit; however, the different unit size from the general-purpose processor cache line further degrades the system performance due to the introduction of a read-modify-write (RMW) module. Since there has never been any research related to RMW in a PCM-based memory system, this dissertation proposes a novel architecture to enhance the overall system performance and reliability of a PCM-based memory system having an RMW module. The proposed architecture enhances data re-usability without introducing extra storage resources. Furthermore, a novel operation that merges commands regardless of command types is proposed to enhance performance notably. Another problem is the absence of a full simulation platform for PCM. While the announced features of the PCM-related product (i.e., Intel Optane) are scarce due to confidential issues, all priceless information can be integrated to develop an architecture simulator that resembles the available product. To this end, this dissertation tries to scrape up all available features of modules in a PCM controller and implement a dedicated simulator for future research purposes.์ƒ๋ณ€ํ™” ๋ฉ”๋ชจ๋ฆฌ๋Š”(PCM) ๋งค๋ ฅ์ ์ธ ํŠน์„ฑ์„ ํ†ตํ•ด ๋ฉ”๋ชจ๋ฆฌ ์‹œ์Šคํ…œ์˜ ์ƒˆ๋กœ์šด ์‹œ๋Œ€์˜ ์‹œ์ž‘์„ ์•Œ๋ ธ๋‹ค. ๋งŽ์€ ๋ฉ”๋ชจ๋ฆฌ ๊ด€๋ จ ์ œํ’ˆ ์ œ์กฐ์—…์ฒด(์˜ˆ : ์ธํ…”, SK ํ•˜์ด๋‹‰์Šค, ์‚ผ์„ฑ)๊ฐ€ ๊ด€๋ จ ์ œํ’ˆ ๊ฐœ๋ฐœ์— ๋ฐ•์ฐจ๋ฅผ ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. PCM์€ ๋‹จ์ˆœํžˆ ๋Œ€๊ทœ๋ชจ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์—๋งŒ ๊ตญํ•œ๋˜์ง€ ์•Š๊ณ  ๋‹ค์–‘ํ•œ ์ƒํ™ฉ์— ์ ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, PCM์€ ๋น„ํœ˜๋ฐœ์„ฑ์œผ๋กœ ์ธํ•ด ๋Œ€๊ธฐ ์ „๋ ฅ์ด ๋‚ฎ๋‹ค. ๋”ฐ๋ผ์„œ ๊ณ„์‚ฐ ์ง‘์•ฝ์ ์ธ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๋˜๋Š” ๋ชจ๋ฐ”์ผ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์€(์ฆ‰, ๊ธด ๋ฉ”๋ชจ๋ฆฌ ์œ ํœด ์‹œ๊ฐ„) PCM ๊ธฐ๋ฐ˜ ์ปดํ“จํŒ… ์‹œ์Šคํ…œ์—์„œ ์‹คํ–‰ํ•˜๊ธฐ์— ์ ํ•ฉํ•˜๋‹ค. PCM์˜ ์ด๋Ÿฌํ•œ ๋งค๋ ฅ์ ์ธ ํŠน์„ฑ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  PCM์€ ๋‚ฎ์€ ์‹ ๋ขฐ์„ฑ๊ณผ ๊ธด ๋Œ€๊ธฐ ์‹œ๊ฐ„์œผ๋กœ ์ธํ•ด ์—ฌ์ „ํžˆ ์ผ๋ฐ˜ ์‚ฐ์—… ์‹œ์žฅ์—์„œ๋Š” DRAM๊ณผ ๋‹ค์†Œ ๊ฒฉ์ฐจ๊ฐ€ ์žˆ๋‹ค. ํŠนํžˆ ๋‚ฎ์€ ์‹ ๋ขฐ์„ฑ์€ ์ง€๋‚œ ์ˆ˜์‹ญ ๋…„ ๋™์•ˆ PCM ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์„ ์ €ํ•ดํ•˜๋Š” ๋ฌธ์ œ๋‹ค. ๋ฐ˜๋„์ฒด ๊ณต์ • ๊ธฐ์ˆ ์ด ์ˆ˜๋…„์— ๊ฑธ์ณ ๋น ๋ฅด๊ฒŒ ์ถ•์†Œ๋จ์— ๋”ฐ๋ผ DRAM์€ 10nm ๊ธ‰ ๊ณต์ • ๊ธฐ์ˆ ์— ๋„๋‹ฌํ•˜์˜€๋‹ค. ์ด์–ด์„œ, ์“ฐ๊ธฐ ๋ฐฉํ•ด ์˜ค๋ฅ˜ (WDE)๊ฐ€ 54nm ๋“ฑ๊ธ‰ ํ”„๋กœ์„ธ์Šค ๊ธฐ์ˆ  ์•„๋ž˜๋กœ ์ถ•์†Œ๋˜๋ฉด PCM์— ์‹ฌ๊ฐํ•œ ๋ฌธ์ œ๊ฐ€ ๋  ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ๋˜์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ, WDE ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๊ฒƒ์€ PCM์ด DRAM๊ณผ ๋™๋“ฑํ•œ ๊ฒฝ์Ÿ๋ ฅ์„ ๊ฐ–์ถ”๋„๋ก ํ•˜๋Š” ๋ฐ ์žˆ์–ด ํ•„์ˆ˜์ ์ด๋‹ค. ์ด ๋ฌธ์ œ๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•ด ์ด ๋…ผ๋ฌธ์—์„œ๋Š” 2-๋ ˆ๋ฒจ SRAM ๊ธฐ๋ฐ˜ ํ…Œ์ด๋ธ”์„ ํ™œ์šฉํ•˜์—ฌ WDE ์ˆ˜๋ฅผ ํฌ๊ฒŒ ์ค„์—ฌ ํ•„์š”์— ๋”ฐ๋ผ ์ค€ ์•ˆ์ • ์…€์„ ๋ณต์›ํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์•ˆํ•œ๋‹ค. ๋˜ํ•œ, ์›๋ž˜ SRAM์—์„œ ์ˆ˜๋ฐฑ ๊ฐœ์˜ ์ฝ๊ธฐ ํฌํŠธ๊ฐ€ ํ•„์š”ํ•œ ๋Œ€์ฒด ์ •์ฑ…์„ ๊ตฌํ˜„ํ•˜๊ธฐ ์œ„ํ•ด ์ƒˆ๋กœ์šด ๋žœ๋ค ๊ธฐ๋ฐ˜์˜ ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. PCM์˜ ๋‘ ๋ฒˆ์งธ ๋ฌธ์ œ๋Š” DRAM์— ๋น„ํ•ด ์ง€์—ฐ ์‹œ๊ฐ„์ด ๊ธธ๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ํŠนํžˆ PCM์€ ๋” ํฐ ํŠธ๋žœ์žญ์…˜ ๋‹จ์œ„๋ฅผ ์ฑ„ํƒํ•˜์—ฌ ๋‹จ์œ„์‹œ๊ฐ„ ๋‹น ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ๋Ÿ‰ ํ–ฅ์ƒ์„ ๋„๋ชจํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ฒ”์šฉ ํ”„๋กœ์„ธ์„œ ์บ์‹œ ๋ผ์ธ๊ณผ ๋‹ค๋ฅธ ์œ ๋‹› ํฌ๊ธฐ๋Š” ์ฝ๊ธฐ-์ˆ˜์ •-์“ฐ๊ธฐ (RMW) ๋ชจ๋“ˆ์˜ ๋„์ž…์œผ๋กœ ์ธํ•ด ์‹œ์Šคํ…œ ์„ฑ๋Šฅ์„ ์ €ํ•˜ํ•˜๊ฒŒ ๋œ๋‹ค. PCM ๊ธฐ๋ฐ˜ ๋ฉ”๋ชจ๋ฆฌ ์‹œ์Šคํ…œ์—์„œ RMW ๊ด€๋ จ ์—ฐ๊ตฌ๊ฐ€ ์—†์—ˆ๊ธฐ ๋•Œ๋ฌธ์— ๋ณธ ๋…ผ๋ฌธ์€ RMW ๋ชจ๋“ˆ์„ ํƒ‘์žฌ ํ•œ PCM ๊ธฐ๋ฐ˜ ๋ฉ”๋ชจ๋ฆฌ ์‹œ์Šคํ…œ์˜ ์ „๋ฐ˜์ ์ธ ์‹œ์Šคํ…œ ์„ฑ๋Šฅ๊ณผ ์‹ ๋ขฐ์„ฑ์„ ํ–ฅ์ƒํ•˜๊ฒŒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์•„ํ‚คํ…์ฒ˜๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆ๋œ ์•„ํ‚คํ…์ฒ˜๋Š” ์ถ”๊ฐ€ ์Šคํ† ๋ฆฌ์ง€ ๋ฆฌ์†Œ์Šค๋ฅผ ๋„์ž…ํ•˜์ง€ ์•Š๊ณ ๋„ ๋ฐ์ดํ„ฐ ์žฌ์‚ฌ์šฉ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚จ๋‹ค. ๋˜ํ•œ, ์„ฑ๋Šฅ ํ–ฅ์ƒ์„ ์œ„ํ•ด ๋ช…๋ น ์œ ํ˜•๊ณผ ๊ด€๊ณ„์—†์ด ๋ช…๋ น์„ ๋ณ‘ํ•ฉํ•˜๋Š” ์ƒˆ๋กœ์šด ์ž‘์—…์„ ์ œ์•ˆํ•œ๋‹ค. ๋˜ ๋‹ค๋ฅธ ๋ฌธ์ œ๋Š” PCM์„ ์œ„ํ•œ ์™„์ „ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ”Œ๋žซํผ์ด ๋ถ€์žฌํ•˜๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. PCM ๊ด€๋ จ ์ œํ’ˆ(์˜ˆ : Intel Optane)์— ๋Œ€ํ•ด ๋ฐœํ‘œ๋œ ์ •๋ณด๋Š” ๋Œ€์™ธ๋น„ ๋ฌธ์ œ๋กœ ์ธํ•ด ๋ถ€์กฑํ•˜๋‹ค. ํ•˜์ง€๋งŒ ์•Œ๋ ค์ ธ ์žˆ๋Š” ์ •๋ณด๋ฅผ ์ ์ ˆํžˆ ์ทจํ•ฉํ•˜๋ฉด ์‹œ์ค‘ ์ œํ’ˆ๊ณผ ์œ ์‚ฌํ•œ ์•„ํ‚คํ…์ฒ˜ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ๋ฅผ ๊ฐœ๋ฐœํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๋ณธ ๋…ผ๋ฌธ์€ PCM ๋ฉ”๋ชจ๋ฆฌ ์ปจํŠธ๋กค๋Ÿฌ์— ํ•„์š”ํ•œ ๋ชจ๋“  ๋ชจ๋“ˆ ์ •๋ณด๋ฅผ ํ™œ์šฉํ•˜์—ฌ ํ–ฅํ›„ ์ด์™€ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ์—์„œ ์ถฉ๋ถ„ํžˆ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์ „์šฉ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ๋ฅผ ๊ตฌํ˜„ํ•˜์˜€๋‹ค.1 INTRODUCTION 1 1.1 Limitation of Traditional Main Memory Systems 1 1.2 Phase-Change Memory as Main Memory 3 1.2.1 Opportunities of PCM-based System 3 1.2.2 Challenges of PCM-based System 4 1.3 Dissertation Overview 7 2 BACKGROUND AND PREVIOUS WORK 8 2.1 Phase-Change Memory 8 2.2 Mitigation Schemes for Write Disturbance Errors 10 2.2.1 Write Disturbance Errors 10 2.2.2 Verification and Correction 12 2.2.3 Lazy Correction 13 2.2.4 Data Encoding-based Schemes 14 2.2.5 Sparse-Insertion Write Cache 16 2.3 Performance Enhancement for Read-Modify-Write 17 2.3.1 Traditional Read-Modify-Write 17 2.3.2 Write Coalescing for RMW 19 2.4 Architecture Simulators for PCM 21 2.4.1 NVMain 21 2.4.2 Ramulator 22 2.4.3 DRAMsim3 22 3 IN-MODULE DISTURBANCE BARRIER 24 3.1 Motivation 25 3.2 IMDB: In Module-Disturbance Barrier 29 3.2.1 Architectural Overview 29 3.2.2 Implementation of Data Structures 30 3.2.3 Modification of Media Controller 36 3.3 Replacement Policy 38 3.3.1 Replacement Policy for IMDB 38 3.3.2 Approximate Lowest Number Estimator 40 3.4 Putting All Together: Case Studies 43 3.5 Evaluation 45 3.5.1 Configuration 45 3.5.2 Architectural Exploration 47 3.5.3 Effectiveness of the Replacement Policy 48 3.5.4 Sensitivity to Main Table Configuration 49 3.5.5 Sensitivity to Barrier Buffer Size 51 3.5.6 Sensitivity to AppLE Group Size 52 3.5.7 Comparison with Other Studies 54 3.6 Discussion 59 3.7 Summary 63 4 INTEGRATION OF AN RMW MODULE IN A PCM-BASED SYSTEM 64 4.1 Motivation 65 4.2 Utilization of DRAM Cache for RMW 67 4.2.1 Architectural Design 67 4.2.2 Algorithm 70 4.3 Typeless Command Merging 73 4.3.1 Architectural Design 73 4.3.2 Algorithm 74 4.4 An Alternative Implementation: SRC-RMW 78 4.4.1 Implementation of SRC-RMW 78 4.4.2 Design Constraint 80 4.5 Case Study 82 4.6 Evaluation 85 4.6.1 Configuration 85 4.6.2 Speedup 88 4.6.3 Read Reliability 91 4.6.4 Energy Consumption: Selecting a Proper Page Size 93 4.6.5 Comparison with Other Studies 95 4.7 Discussion 97 4.8 Summary 99 5 AN ALL-INCLUSIVE SIMULATOR FOR A PCM CONTROLLER 100 5.1 Motivation 101 5.2 PCMCsim: PCM Controller Simulator 103 5.2.1 Architectural Overview 103 5.2.2 Underlying Classes of PCMCsim 104 5.2.3 Implementation of Contention Behavior 108 5.2.4 Modules of PCMCsim 109 5.3 Evaluation 116 5.3.1 Correctness of the Simulator 116 5.3.2 Comparison with Other Simulators 117 5.4 Summary 119 6 Conclusion 120 Abstract (In Korean) 141 Acknowledgment 143๋ฐ•

    Dependability Assessment of NAND Flash-memory for Mission-critical Applications

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    It is a matter of fact that NAND flash memory devices are well established in consumer market. However, it is not true that the same architectures adopted in the consumer market are suitable for mission critical applications like space. In fact, USB flash drives, digital cameras, MP3 players are usually adopted to store "less significant" data which are not changing frequently (e.g., MP3s, pictures, etc.). Therefore, in spite of NAND flashโ€™s drawbacks, a modest complexity is usually needed in the logic of commercial flash drives. On the other hand, mission critical applications have different reliability requirements from commercial scenarios. Moreover, they are usually playing in a hostile environment (e.g., the space) which contributes to worsen all the issues. We aim at providing practical valuable guidelines, comparisons and tradeoffs among the huge number of dimensions of fault tolerant methodologies for NAND flash applied to critical environments. We hope that such guidelines will be useful for our ongoing research and for all the interested readers
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