Efficient cache design for solid-state drives

Huang, Miaoqing; Serres, Olivier; Narayana, Vikram K.; El‐Ghazawi, Tarek; Newby, Gregory B.

doi:10.1145/1787275.1787282

Cited by 11 publications

(5 citation statements)

References 13 publications

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“…There have been proposals of efficient write cache [8] to provide balanced read/write performance for flash memory. Also, it uses an efficient updating technique to provide more responsive SSD architecture by writing back stable but dirty flash pages.…”

Section: Related Workmentioning

confidence: 99%

Efficient Multilevel Cache Design for Solid State Drive’s

Kasi¹,

Kasi²,

UlAmin³

2019

Journal of Applied and Emerging Sciences

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Flash memory-based Solid-State Drives (SSDs) are becoming popular as the storage media in domains ranging from laptops and embedded systems to enterprise-scale storage systems. The main reasons are SSDs durability and low energy consumption. Performance behavior of SSDs differs from those of magnetic disks. However, SSDs possess poor random write performance because of the erase-before-write problem. The cache memory has multiple novel features including advanced support for performance monitoring, data pre-fetching, and coherency. In this research, we have incorporated multi-level caching with solid-state drives. We evaluated our technique using the standard state-of-the-art DiskSim simulator. We found a significant reduction in number of writes with multi-level caching. The overhead was comparable.

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Section: Related Workmentioning

confidence: 99%

Efficient Multilevel Cache Design for Solid State Drive’s

Kasi¹,

Kasi²,

UlAmin³

2019

Journal of Applied and Emerging Sciences

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“…After that, On-Line FRFS insert this entry into the prediction table. Then On-Line FRFS will update the estimated interval value and the length of interval between the current time and the previously arrival time of the page [10].…”

Section: Online First Re-arrival First Serve (On-line Frfs)mentioning

confidence: 99%

“…Technically, there are two basic types of SSD storage systems, Multi-Level Cell (MLC), and Single Level Cell (SLC) [11,17,21]. The main differences between these two types are concerning with the number of writing cycles [8,10], and the storage capacity level, which mainly affected the SSD media life span [10,14,21,22]. Physically, there are three main components that SSD data storage system consists of, the flash package, SSD controller and host interface logic [7,12,14].…”

Section: Introductionmentioning

confidence: 99%

“…The main function of the processor is to manage the flow of data and mappings from the logical block address to physical locations [5,11,14]. Respectively, the buffer manager will speed up the processing time required for performing several storage system functions, such as reading or writing operations [9,10], while flash demux/mux is to managing instructions and data transport processes along the serial connections to the flash packages [13,15]. The host interface represents the point that connects internal environment for SSD storage system with the external physical environment.…”

Section: Introductionmentioning

confidence: 99%

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An Overview of Video Allocation Algorithms for Flash-based SSD Storage Systems

Al-Sabateen¹,

Alomari²,

Sumari³

2012

IJACSA

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Abstract-Despite the fact that Solid State Disk (SSD) data storage media had offered a revolutionary property storages community, but the unavailability of a comprehensive allocation strategy in SSDs storage media, leads to consuming the available space, random writing processes, time-consuming reading processes, and system resources consumption. In order to overcome these challenges, an efficient allocation algorithm is a desirable option. In this paper, we had executed an intensive investigation on the SSD-based allocation algorithms that had been proposed by the knowledge community. An explanatory comparison had been made between these algorithms. We reviewed these algorithms in order to building advanced knowledge armature that would help in inventing new allocation algorithms for this type of storage media.

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“…It is therefore desirable that the on-board cache on data storage drives balances out the disparity between reads and writes, in addition to improving the average read/write access time. In our previous work [1] a centralized on-board cache was proposed, as shown in Figure 1. The basic cache policy is write back, i.e., write requests are always serviced by the cache.…”

Section: Introductionmentioning

confidence: 99%

Improving the Performance of On-Board Cache for Flash-Based Solid-State Drives

Huang

Men

2012

2012 IEEE Seventh International Conference on Networking, Architecture, and Storage

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Flash-based Solid-State Drives (SSDs) are data storage devices that use flash memory to store persistent data. Previously we presented a centralized on-board cache for SSDs to improve the response time and reduce the physical writes to the flash media. An automatic periodic update (APU) feature with fixed period is used to write dirty and stable cache lines to flash media when the SSD is idle. In this work we propose a distributed on-board cache architecture to match the intrinsic parallelism of SSDs. Since there are N individual flash packages in one SSD device, N dirty cache lines are selected by the APU feature, each of which is written to a separate flash package. Simulation results show that this distributed on-board cache can significantly reduce the response time of SSDs by up to 90% compared with the SSDs without such a cache, while reducing the number of physical writes to the flash memory.

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Efficient cache design for solid-state drives

Cited by 11 publications

References 13 publications

Efficient Multilevel Cache Design for Solid State Drive’s

Efficient Multilevel Cache Design for Solid State Drive’s

An Overview of Video Allocation Algorithms for Flash-based SSD Storage Systems

Improving the Performance of On-Board Cache for Flash-Based Solid-State Drives

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