Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

Constructing energy-efficient database systems to reduce economic costs and
environmental impact has been studied for 10 years. With the emergence of the big data …

Server hardware is about to drastically change. As typified by emerging hardware such as
UC Berkeley's Firebox project and by Intel's Rack-Scale Architecture (RSA), next generation …

Non-volatile memory (NVM) is a new storage technology that combines the performance
and byte addressability of DRAM with the persistence of traditional storage devices like flash …

Disk-based database systems use buffer managers in order to transparently manage data
sets larger than main memory. This traditional approach is effective at minimizing the …

Many applications require low-latency key-value storage, a requirement that is typically
satisfied using key-value stores backed by DRAM. Recently, however, storage devices built …

Database administrators construct secondary indexes on data tables to accelerate query
processing in relational database management systems (RDBMSs). These indexes are built …

Most database management systems cache pages from storage in a main memory buffer
pool. To do this, they either rely on a hash table that translates page identifiers into pointers …

Neither traditional disk-based database systems nor modern inmemory database systems
are capable of fully exploiting modern servers with multiple NVMe SSDs. LeanStore is a …

For decades, ARIES has been the standard for logging and recovery in database systems.
ARIES offers important features like support for arbitrary workloads, fuzzy checkpoints, and …