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 …

There has been an increasing interest in building cloud-native databases that decouple
computation and storage for elasticity. A cloud-native database often adopts a cloud storage …

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

With increasing multi-core parallelism, modern databases and key-value stores are
designed for scalability and presently yield very high throughput for the in-memory working …

Actions changing the state of databases are all logged with proper ordering being imposed.
Database engines obeying this golden rule of logging enforce total ordering on all events …

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 …

This thesis develops a comprehensive architectural blueprint for a high-performance flash-
based HTAP database system. In particular, we devise novel approaches for low-overhead …

Non-volatile memory (NVM) is a promising storage technology that combines not only high
performance and byte-addressability (like DRAM) but also durability (like SSD). However, as …