Silo is a new in-memory database that achieves excellent performance and scalability on
modern multicore machines. Silo was designed from the ground up to use system memory …

NUMA systems are characterized by Non-Uniform Memory Access times, where accessing
data in a remote node takes longer than a local access. NUMA hardware has been built …

As a result of tremendous rise in internet usage like social media and forums, mail systems,
scholarly and research articles, daily online transactions from multiple sources like health …

Traditional database systems are built around the query-at-a-time model. This approach
tries to optimize performance in a best-effort way. Unfortunately, best effort is not good …

In this paper we present BatchDB, an in-memory database engine designed for hybrid OLTP
and OLAP workloads. BatchDB achieves good performance, provides a high level of data …

The recent availability of Intel Haswell processors marks the transition of hardware
transactional memory from research toys to mainstream reality. DBX is an in-memory …

Multicore main-memory database performance can collapse when many transactions
contend on the same data. Contending transactions are executed serially—either by locks or …

Multicore in-memory databases often rely on traditional con-currency control schemes such
as two-phase-locking (2PL) or optimistic concurrency control (OCC). Unfortunately, when the …

As a result of increases in both the query load and the data managed, as well as changes in
hardware architecture (multicore), the last years have seen a shift from query-at-a-time …

The past decade has witnessed an increasing adoption of cloud database technology,
which provides better scalability, availability, and fault-tolerance via transparent partitioning …