Solid State Drive (SSD), emerging as new data storage media with high random read speed, has been widely used in laptops, desk-tops, and data servers to replace hard disk during the past few years. However, poor random write performance becomes the bottle neck in practice. In this paper, we propose to insert unmodified data into random write sequence in order to convert random writes into se-quential writes, and thus data sequence can be flushed at the speed of sequential write. Further, we propose a clustering strategy to improve the performance by reducing quantity of unmodified data to read. After exploring the intrinsic parallelism of SSD, we also propose to flush write sequences with the help of the simultaneous program between planes ...
Abstract. Flash memories are considered a competitive alternative to rotating disks as non-volatile ...
In solid-state drives (SSDs), data is generally not updated in place. Rather, data update in SSDs in...
High performance applications involving large data sets require the efficient and flexible use of mu...
In this paper we present a sequentializing device driver for eSSD that transforms random writes into...
<p>The past decade has seen wide availability of solid-state drives (SSDs) in settings ranging from ...
Solid-State Disks (SSDs) have been currently considered as a promising candidate to replace hard dis...
Abstract—Most researches of Solid State Drives (SSDs) archi-tectures rely on Flash Translation Layer...
Shingled magnetic recording (SMR) is widely considered as a promising storage technology for fulfill...
algorithms and wear leveling; however, internal parallelism in Solid State Drives has not been well ...
If the data density of magnetic disks is to continue its current 30-50% annual growth, new recording...
Recent breakthroughs in NAND flash technology have made solid state drive (SSD) a viable storage dev...
[[abstract]]Shingled magnetic recording (SMR) is regarded as a promising solution for fulfilling the...
Abstract—Mobile devices use low-cost SSDs such as microSD cards and eMMC devices for persistent data...
With the ever-growing size of computer clusters and applications, system failures are becoming inevi...
Solid State Disks (SSDs) are superior to magnetic disks from a performance point of view due to the ...
Abstract. Flash memories are considered a competitive alternative to rotating disks as non-volatile ...
In solid-state drives (SSDs), data is generally not updated in place. Rather, data update in SSDs in...
High performance applications involving large data sets require the efficient and flexible use of mu...
In this paper we present a sequentializing device driver for eSSD that transforms random writes into...
<p>The past decade has seen wide availability of solid-state drives (SSDs) in settings ranging from ...
Solid-State Disks (SSDs) have been currently considered as a promising candidate to replace hard dis...
Abstract—Most researches of Solid State Drives (SSDs) archi-tectures rely on Flash Translation Layer...
Shingled magnetic recording (SMR) is widely considered as a promising storage technology for fulfill...
algorithms and wear leveling; however, internal parallelism in Solid State Drives has not been well ...
If the data density of magnetic disks is to continue its current 30-50% annual growth, new recording...
Recent breakthroughs in NAND flash technology have made solid state drive (SSD) a viable storage dev...
[[abstract]]Shingled magnetic recording (SMR) is regarded as a promising solution for fulfilling the...
Abstract—Mobile devices use low-cost SSDs such as microSD cards and eMMC devices for persistent data...
With the ever-growing size of computer clusters and applications, system failures are becoming inevi...
Solid State Disks (SSDs) are superior to magnetic disks from a performance point of view due to the ...
Abstract. Flash memories are considered a competitive alternative to rotating disks as non-volatile ...
In solid-state drives (SSDs), data is generally not updated in place. Rather, data update in SSDs in...
High performance applications involving large data sets require the efficient and flexible use of mu...