Solid-state drives (SSDs) are increasingly being considered as a viable alternative to rotational hard-disk drives (HDDs). In this paper, we investigate if SSDs improve the performance of MapReduce workloads and evaluate the economics of using PCIe SSDs either in place of or in addition to HDDs. Our contributions are (1) a method of benchmarking MapReduce performance on SSDs and HDDs under cons...

With the development of flash memory technology, flash-based solid state drives (SSDs) are gradually used in more and more devices and applications. In addition to characteristics of flash memory itself, a unique characteristic of SSDs, namely internal parallelism, should also be considered to improve performance of SSDs-based DBMSs, especially query processing. In this paper, we first describe...

Solid state disks (SSDs) have advanced to outperform traditional hard drives significantly in both random reads and writes. However, heavy random writes trigger frequent garbage collection and decrease the performance of SSDs. In an SSD array, garbage collection of individual SSDs is not synchronized, leading to underutilization of some of the SSDs. We propose a software solution to tackle the ...

Nowadays, flash-based solid state drives (SSDs) are gradually replacing hard disk drives (HDDs) as the primary non-volatile storage in both desktop and enterprise applications because of their potential to speed up performance and reduce power consumption. However, database query processing engines are designed based on the fundamental characteristics of HDDs, so they may not benefit immediatel...

Big data real-time processing aims for faster retrieval of data and analysis. Lately, in order to accelerate real-time processing, big data platforms are trying to exploit NAND flash based storage devices, especially SSDs. NoSQL DBMSs have been used for real-time management of big data which significantly depends on index structures to efficiently manage data. Previous research about flash-awar...

The use of flash-based solid state drives (SSDs) in storage systems is growing. Adding SSDs to a storage system not only raises the question of how to manage the SSDs, but also raises the question of whether current buffer pool algorithms will still work effectively. We are interested in the use of hybrid storage systems, consisting of SSDs and hard disk drives (HDDs), for database management. ...

Solid-state drives (SSDs) are quickly becoming an affordable alternative to mechanical hard disk drives. SSDs perform low latency reads and have access times that are magnitudes smaller than those of their mechanical counterparts. Many current file systems make clever optimizations that target mechanical hard disk drives; the faster performance of SSDs without use of mechanical parts makes obso...

Big data real-time processing aims for faster retrieval of data and analysis. Lately, in order to accelerate real-time processing, big data platforms are trying to exploit NAND flash based storage devices, especially SSDs. NoSQL DBMSs have been used for real-time management of big data which significantly depends on index structures to efficiently manage data. Previous research about flash-awar...

Solid-state drives (SSDs) are used in a wide array of computer systems today, including in datacenters and enterprise servers. As the I/O demands of these systems continue to increase, manufacturers are evolving SSD architectures to keep up with this demand. For example, manufacturers have introduced new high-bandwidth interfaces to replace the conventional SATA host–interface protocol. These n...