Most commercial database systems do (or should) exploit many sorting techniques that are
publicly known, but not readily available in the research literature. These techniques …

A data storage system includes a processor, a system memory, and logical extents. Blocks of
storage in one or more physical storage devices are allocated to each of the logical extents …

Relational DBMS typically execute concurrent queries independently by invoking a set of
operator instances for each query. To exploit common data retrievals and computation in …

Prior research shows that database system performance is dominated by off-chip data stalls,
resulting in a concerted effort to bring data into on-chip caches. At the same time, high levels …

Concurrency control on B+ trees is primarily achieved with latches, but serialization and
contention can hinder scalability. As core counts on current processors increase, it is …

OLTP (On-Line Transaction Processing) is an important business system sector in various
traditional and emerging online services. Due to the increasing number of users, OLTP …

Although significant recent progress has been made in improving the multi-core scalability of
high throughput transactional database systems, modern systems still fail to achieve …

Driven by the rapid hardware development of parallel CPU/GPU architectures, we have
witnessed emerging relational query processing techniques and implementations on those …

The traditional architecture for a DBMS engine has the recovery, concurrency control and
access method code tightly bound together in a storage engine for records. We propose a …

Driven by the rapidly increasing demand for handling real-time data streams, many data
stream processing (DSP) systems have been proposed. Regardless of the different …