• Title/Summary/Keyword: Flash storage

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Real-Time Retrieval of Multimedia Data from Flash Memory Storage Devices (플래시 메모리 저장 장치에서 멀티미디어 데이터의 실시간 재생)

  • Han, Lyong-Cheol;Yang, Hak-Mo;Ryu, Yeon-Seung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.1705-1708
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    • 2005
  • Recently, flash memory is becoming popular as storage system to store and retrieve multimedia files. However, there are few researches about multimedia file system for flash memory based storage devices. We have been designing and developing a novel multimedia file systems for flash memory. In this paper, we describe the semantics of real-time retrieval of multimedia data and present scheduling scheme to guarantee the real-time requirements in our multimedia file system.

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Efficient Metadata Management Scheme in NAND Flash based Storage Device (플래시 메모리기반 저장장치에서 효율적 메타데이터 관리 기법)

  • Kim, Dongwook;Kang, Sooyong
    • Journal of Digital Contents Society
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    • v.16 no.4
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    • pp.535-543
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    • 2015
  • Recently, NAND flash based storage devices are being used as a storage device in various fields through hiding the limitations of NAND flash memory and maximizing the advantages. In particular, those storage devices contain a software layer called Flash Translation Layer(FTL) to hide the "erase-before-write" characteristics of NAND flash memory. FTL includes the metadata for managing the data requested from host. That metadata is stored in internal memory because metadata is very frequently accessed data for processing the requests from host. Thus, if the power-loss occurs, all data in memory is lost. So metadata management scheme is necessary to store the metadata periodically and to load the metadata in the initialization step. Therefore we proposed the scheme which satisfies the core requirements for metadata management and efficient operation. And we verified the efficiency of proposed scheme by experiments.

Performance Evaluation and Optimization of NoSQL Databases with High-Performance Flash SSDs (고성능 플래시 SSD 환경에서 NoSQL 데이터베이스의 성능 평가 및 최적화)

  • Han, Hyuck
    • The Journal of the Korea Contents Association
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    • v.17 no.7
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    • pp.93-100
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    • 2017
  • Recently, demands for high-performance flash-based storage devices (i.e., flash SSD) have rapidly grown in social network services, cloud computing, super-computing, and enterprise storage systems. The industry and academic communities made the NVMe specification for high-performance storage devices, and NVMe-based flash SSDs can be now obtained in the market. In this article, we evaluate performance of NoSQL databases that social network services and cloud computing services heavily adopt by using NVMe-based flash SSDs. To this end, we use NVMe SSD that Samsung Electronics recently developed, and the SSD used in this study has performance up to 3.5GB/s for sequential read/write operations. We use WiredTiger for NoSQL databases, and it is a default storage engine for MongoDB. Our experimental results show that log processing in NoSQL databases is a major overhead when high-performance NVMe-based flash SSDs are used. Furthermore, we optimize components of log processing and optimized WiredTiger show up to 15 times better performance than original WiredTiger.

A Mapping Table Caching Scheme for NAND Flash-based Mobile Storage Devices (NAND 플래시 기반 모바일 저장장치를 위한 사상 테이블 캐싱 기법)

  • Yang, Soo-Hyeon;Ryu, Yeon-Seung
    • The Journal of Society for e-Business Studies
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    • v.15 no.4
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    • pp.21-31
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    • 2010
  • Recently e-business such as online financial trade and online shopping using mobile computes are widely spread. Most of mobile computers use NAND flash memory-based storage devices for storing data. Flash memory storage devices use a software called flash translation layer to translate logical address from a file system to physical address of flash memory by using mapping tables. The legacy FTLs have a problem that they must maintain very large mapping tables in the RAM. In order to address this issues, in this paper, we proposed a new caching scheme of mapping tables. We showed through the trace-driven simulations that the proposed caching scheme reduces the space overhead dramatically but does not increase the time overhead. In the case of online transaction workload in e-business environment, in particular, the proposed scheme manifests better performance in reducing the space overhead.

A Prediction-Based Data Read Ahead Policy using Decision Tree for improving the performance of NAND flash memory based storage devices (낸드 플래시 메모리 기반 저장 장치의 성능 향상을 위해 결정트리를 이용한 예측 기반 데이터 미리 읽기 정책)

  • Lee, Hyun-Seob
    • Journal of Internet of Things and Convergence
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    • v.8 no.4
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    • pp.9-15
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    • 2022
  • NAND flash memory is used as a medium for various storage devices due to its high data processing speed with low power consumption. However, since the read processing speed of data is about 10 times faster than the write processing speed, various studies are being conducted to improve the speed difference. In particular, flash dedicated buffer management policies have been studied to improve write speed. However, SSD(solid state disks), which has recently been used for various purposes, is more vulnerable to read performance than write performance. In this paper, we find out why read performance is slower than write performance in SSD composed of NAND flash memory and study buffer management policies to improve it. The buffer management policy proposed in this paper proposes a method of improving the speed of a flash-based storage device by analyzing the pattern of read data and applying a policy of pre-reading data to be requested in the future from NAND flash memory. It also proves the effectiveness of the read-ahead policy through simulation.

Wear Leveling Technique using Random Selection Method in Flash Storage (플래시 스토리지에서 랜덤 선택 방법을 활용한 마모도 평준화 기법)

  • Jung Kyu Park;Eun Young Park
    • Journal of Internet of Things and Convergence
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    • v.10 no.3
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    • pp.13-18
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    • 2024
  • Recently, reliability has become more important as flash-based storage devices are actively used in cloud servers and data centers. Flash memory chips have limitations in reading/writing, so if writing is concentrated in one location, the chip can no longer be used. To solve this problem and improve reliability, it is necessary to equalize the wear of flash memory chips. However, in order to equalize the wear of flash memory with increasing capacity, the workload increases proportionally. In particular, when searching for a block with the maximum/minimum number of deletions for all blocks of a flash memory chip, the cost increases depending on the capacity of the storage device. In this paper, a random selection method of blocks was applied to solve the previous problem. When k is the randomly selected block, actual experimental results confirmed that searching all blocks with an k value of 4 or more yields similar results.

An Efficient Spatial Index Technique based on Flash-Memory (플래시 메모리 기반의 효율적인 공간 인덱스 기법)

  • Kim, Joung-Joon;Sim, Hee-Joung;Kang, Hong-Koo;Lee, Ki-Young;Han, Ki-Joon
    • Journal of Korea Spatial Information System Society
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    • v.11 no.2
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    • pp.133-142
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    • 2009
  • Recently, with the advance of wireless internet and the frequent use of mobile devices, demand for LBS(Location Based Service) is increasing, and research is required on spatial indexes for the storage and maintenance of spatial data to provide efficient LBS in mobile device environments. In addition, the use of flash memory as an auxiliary storage device is increasing in order to store large spatial data in a mobile terminal with small storage space. However, the application of existing spatial indexes to flash-memory lowers index performance due to the frequent updates of nodes. To solve this problem, research is being conducted on flash-memory based spatial indexes, but the efficiency of such spatial indexes is lowered by low utilization of buffer and flash-memory space. Accordingly, in order to solve problems in existing flash-memory based spatial indexes, this paper proposed FR-Tree (Flash-Memory based R-Tree) that uses the node compression technique and the delayed write operation technique. The node compression technique of FR-Tree increased the utilization of flash-memory space by compressing MBR(Minimum Bounding Rectangle) of spatial data using relative coordinates and MBR size. And, the delayed write operation technique reduced the number of write operations in flash memory by storing spatial data in the buffer temporarily and reflecting them in flash memory at once instead of reflecting the insert, update and delete of spatial data in flash-memory for each operation. Especially, the utilization of buffer space was enhanced by preventing the redundant storage of the same spatial data in the buffer. Finally, we perform ed various performance evaluations and proved the superiority of FR-Tree to the existing spatial indexes.

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Design and Implementation of an Efficient FTL for Large Block Flash Memory using Improved Hybrid Mapping (향상된 혼합 사상기법을 이용한 효율적인 대블록 플래시 메모리 변환계층 설계 및 구현)

  • Park, Dong-Joo;Kwak, Kyoung-Hoon
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.1
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    • pp.1-13
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    • 2009
  • Flash memory is widely used as a storage medium of mobile devices such as MP3 players, cellular phones and digital cameras due to its tiny size, low power consumption and shock resistant characteristics. Currently, there are many studies to replace HDD with flash memory because of its numerous strong points. To use flash memory as a storage medium, FTL(Flash Translation Layer) is required since flash memory has erase-before-write constraints and sizes of read/write unit and erase unit are different from each other. Recently, new type of flash memory called "large block flash memory" is introduced. The large block flash memory has different physical structure and characteristics from previous flash memory. So existing FTLs are not efficiently operated on large block flash memory. In this paper, we propose an efficient FTL for large block flash memory based on FAST(Fully Associative Sector Translation) scheme and page-level mapping on data blocks.

Optimizing Fsync Performance with Dynamic Queue Depth Adaptation

  • Park, Daejun;Kim, Min Ji;Shin, Dongkun
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.15 no.5
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    • pp.570-576
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    • 2015
  • Existing flash storage devices such as universal flash storage and solid state disk support command queuing to improve storage I/O bandwidth. Command queuing allows multiple read/write requests to be pending in a device queue. Because multi-channel and multi-way architecture of flash storage devices can handle multiple requests simultaneously, command queuing is an indispensable technique for utilizing parallel architecture. However, command queuing can be harmful to the latency of fsync system call, which is critical to application responsiveness. We propose a dynamic queue depth adaptation technique, which reduces the queue depth if user application is expected to send fsync calls. Experiments show that the proposed technique reduces the fsync latency by 79% on average compared to the original scheme.

An Optimized File System for SSD (SSD를 위한 최적화 파일시스템)

  • Park, Je-Ho
    • Journal of the Semiconductor & Display Technology
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    • v.9 no.2
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    • pp.67-72
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    • 2010
  • Recently increasing application of flash memory in mobile and ubiquitous related devices is due to its non-volatility, fast response time, shock resistance and low power consumption. Following this trend, SSD(Solid State Disk) using multiple flash chips, instead of hard-drive based storage system, started to widely used for its advantageous features. However, flash memory based storage subsystem should resolve the performance bottleneck for writing in perspective of speed and lifetime according to its disadvantageous physical property. In order to provide tangible performance, solutions are studied in aspect of reclaiming of invalid regions by decreasing the number of erasures and distributing the erasures uniformly over the whole memory space as much as possible. In this paper, we study flash memory recycling algorithms with multiple management units and demonstrate that the proposed algorithm provides feasible performance. The proposed method utilizes the partitions of the memory space by utilizing threshold values and reconfigures the management units if necessary. The performance of the proposed policies is evaluated through a number of simulation based experiments.