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 …

Growing demands for the efficient processing of extreme-scale time series workloads call for
more capable time series database management systems (TSDBMS). Specifically, to …

Many systems use snapshot isolation, or something similar, as defaults, and multi-version
concurrency control (MVCC) remains essential to offering such point-in-time consistency …

Existing single-stream logging schemes are unsuitable for in-memory database
management systems (DBMSs) as the single log is often a performance bottleneck. To …

On-line transaction processing (OLTP) systems rely on transaction logging and quorum-
based consensus protocol to guarantee durability, high availability and strong consistency …

In file systems, a single write system call can make multiple modifications to data and
metadata, but such changes are not flushed in an atomic way. To retain the consistency of …

Existing parallel logging schemes are unsuitable for lower isolation levels due to tracking all
dependencies of transactions. To overcome this problem, we present a high-performance …

Journaling file systems (JFS), which base their architecture on traditional database logging,
write journals sequentially through a form of centralized logging, primarily to restore file …

Existing single-stream logging schemes are unsuitable for in-memory database
management systems (DBMSs) as the single log is often a performance bottleneck. To …

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 …