activity
20222026
collaborators

5 papers

cs.AI2026

Towards an AI Software Factory for Data Systems

Anna Pavlenko, Bogdan Crivat, Brandon Haynes +23

AI-assisted coding tools deliver significant acceleration of coding, but only limited impact across the end-to-end software development lifecycle (SDLC)--an Amdahl's law effect! In…

cs.DB2026

BtrLog: Low-Latency Logging for Cloud Database Systems

Maximilian Kuschewski, Lam-Duy Nguyen, Matthias Jasny +3

Cloud database systems cannot rely on instance-local disks for write-ahead logging (WAL) durability, forcing WAL onto remote storage. Existing options are unsatisfying: remote bloc…

cs.DB2026

Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines

Johannes Wehrstein, Timo Eckmann, Matthias Jasny +1

Modern OLAP engines are designed to support arbitrary analytical workloads, but this generality incurs structural overhead, including runtime schema interpretation, indirection lay…

cs.DB2025

High-Performance DBMSs with io_uring: When and How to use it

Matthias Jasny, Muhammad El-Hindi, Tobias Ziegler +2

We study how modern database systems can leverage the Linux io_uring interface for efficient, low-overhead I/O. io_uring is an asynchronous system call batching interface that unif…

cs.DB2022

P4DB -- The Case for In-Network OLTP (Extended Technical Report)

Matthias Jasny, Lasse Thostrup, Tobias Ziegler +1

In this paper we present a new approach for distributed DBMSs called P4DB, that uses a programmable switch to accelerate OLTP workloads. The main idea of P4DB is that it implements…