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 …

Serverless computing has recently attracted a lot of attention from research and industry due
to its promise of ultimate elasticity and operational simplicity. However, there is no …

A new class of database management systems (DBMSs) called NewSQL tout their ability to
scale modern on-line transaction processing (OLTP) workloads in a way that is not possible …

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 …

This work aims at reducing the main-memory footprint in high performance hybrid OLTP &
OLAP databases, while retaining high query performance and transactional throughput. For …

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 …

Using indexes for query execution is crucial for achieving high performance in modern on-
line transaction processing databases. For a main-memory database, however, these …

We present XIndex, a concurrent ordered index designed for fast queries. Similar to a recent
proposal of the learned index, XIndex uses learned models to optimize index efficiency …

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 of today's applications need massive real-time data processing. In-memory database
systems have become a good alternative for these requirements. These systems maintain …