Hadoop framework has been widely used in various clusters to build large scale, high
performance systems. However, Hadoop distributed file system (HDFS) is designed to manage …

Popular LSM-tree based key-value stores suffer from suboptimal and unpredictable
performance due to write amplification and write stalls that cause application performance to …

Data deduplication has become a standard component in modern backup systems. In order
to understand the fundamental tradeoffs in each of its design choices (such as prefetching …

In deduplication-based backup systems, the chunks of each backup are physically scattered
after deduplication, which causes a challenging fragmentation problem. The fragmentation …

In NAND flash memory, once a page program or block erase (P/E) command is issued to a
NAND flash chip, the subsequent read requests have to wait until the timeconsuming P/E …

NAND flash-based SSDs suffer from limited lifetime due to the fact that NAND flash can only
be programmed or erased for limited times. Among various approaches to address this …

Scientific simulations on high-performance computing (HPC) systems can generate large
amounts of floating-point data per run. To mitigate the data storage bottleneck and lower the …

Scientific simulations generate large amounts of floating-point data, which are often not very
compressible using the traditional reduction schemes, such as deduplication or lossless …

Host-managed shingled magnetic recording drives (HM-SMR)[2] give a capacity advantage
to harness the explosive growth of data. Applications where data is sequentially written and …

Log-Structure merge tree (LSM-tree) has been one of the mainstream indexes in key-value
systems supporting a variety of write-intensive Internet applications in today’s data centers. …