A Survey on Flash Translation Layer for NAND Flash Memory

Kumar, Shailesh; Dubey, Kumkum; Singh, Pradeep Kumar

doi:10.17485/ijst/2018/v11i23/125641

Cited by 10 publications

(2 citation statements)

References 10 publications

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“…and the existing file system cannot manage it (Ma et al , 2014). To solve this problem, the researchers introduced a system software called Flash Translation Layer (FTL) into SSD (Kumar et al , 2018a; Bing-Bing and Hua, 2017). The FTL locates between the file system and the flash memory storage device and simulates flash memory as a virtual block device.…”

Section: Introductionmentioning

confidence: 99%

“…Chung et al (2009) developed a survey on FTL, mainly introduced the FTL algorithm and discussed the problems it solved. Kumar et al (2018b) introduced the FTL address mapping algorithm and its importance in flash memory. Most of the overviews about FTL were explored from the traditional perspective, but few overviews about FTL have been studied by using bibliometrics.…”

Section: Introductionmentioning

confidence: 99%

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Flash translation layer: a review and bibliometric analysis

Luo

Lin

2021

IJICC

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PurposeThe purpose of this paper is to make an overview of 474 publications and 512 patents of FTL from 1987 to 2020 in order to provide a conclusive and comprehensive analysis for researchers in this field, as well as a preliminary knowledge of FTL for interested researchers.Design/methodology/approachFirstly, the FTL algorithms are classified and its functions are introduced in detail. Secondly, the structures of the publications are analyzed in terms of the fundamental information and the publication of the most productive countries/regions, institutions and authors. After that, co-citation networks of institutions, authors and papers illustrated by VOS Viewer are given to show the relationship among those and the most influential of them is further analyzed. Then, the characteristics of the patent are analyzed based on the basic information and classification of the patent and the most productive inventors. In order to obtain research hotspots and trends in this field, the time-line review and citation burst detection of keywords carried out by Cite Space are made to be visual. Finally, based on the above analysis, it draws some other important conclusions and the development trend of this field.FindingsThe research on FTL algorithm is still the top priority in the future, and how to improve the performance of SSD in the era of big data is one of the research hotspots.Research limitations/implicationsThis paper makes a comprehensive analysis of FTL with the method of bibliometrics, and it is valuable for researchers can quickly grasp the hotspots in this area.Originality/valueThis article draws the structural characteristics of the publications in this field and summarizes the research hotspots and trends in this field in recent years, aiming to inspire new ideas for researchers.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flash translation layer: a review and bibliometric analysis

Luo

Lin

2021

IJICC

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Research on fault diagnosis of bearings in walking part of wall‐building robot based on roadside acoustic signal

Gao

Zhang

et al. 2022

Journal of Field Robotics

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The walking part of the wall‐building robot is an important component whose health influences the robot's overall performance, and the bearing of the walking part is a critical but often disregarded component. As a result, based on acoustic signals from the roadside, this study proposes a method of bearing fault monitoring of walking parts to ensure the more stable operation of the wall‐building robot. To begin, due to the Doppler effect caused by the relative displacement between the sensor and the walking part, the collected acoustic signal has frequency shift and amplitude attenuation, so the multiple signal classification spectrum estimation method with added windows is first used to determine the position and speed of the walking part bearing in real time, and then obtain a resampled time series of the distorted signal. Second, the distorted signal is resampled by Morse acoustic theory to correct the distorted sound signal collected by the array sensor. Third, a multitask deep learning method with an attention mechanism is designed to jointly diagnose the fault type and damage degree of bearing by analyzing the corrected acoustic signal. The experimental results show that the method can effectively restore the distorted signal while still accurately and stably detecting the fault type and damage degree of the bearing under a variety of working conditions and external disturbances, making it more suitable for the work of wall‐building robots.

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