Main memory capacities have grown up to a point where most databases fit into RAM. For
main-memory database systems, index structure performance is a critical bottleneck …

Requirements of enterprise applications have become much more demanding. They require
the computation of complex reports on transactional data while thousands of users may read …

The advent of affordable, shared-nothing computing systems portends a new class of
parallel database management systems (DBMS) for on-line transaction processing (OLTP) …

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 …

Recently, numerous promising results have shown that updatable learned indexes can
perform better than traditional indexes with much lower memory space consumption. But it is …

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 …

This paper focuses on running scans in a main memory data processing system at" bare
metal" speed. Essentially, this means that the system must aim to process data at or near the …

Large main memories and massively parallel processors have triggered not only a
resurgence of high-performance transaction processing systems optimized for large main …

Non-Volatile RAM (NVRAM) is a novel class of hardware technology which is an interesting
blend of two storage paradigms: byte-addressable DRAM and block-addressable storage …

Modern database management systems (DBMS) expose dozens of configurable knobs that
control their runtime behavior. Setting these knobs correctly for an application's workload …