2020/09/04 by Tiemo Bang, Bang, Tiemo, Norman May +5 · 1 voice
Computer Science · #Cloud Computing and Resource Management #Distributed and Parallel Computing Systems #Distributed systems and fault tolerance #cs.DB #cs.LG
paper · pdf · doi:10.48550/arxiv.2009.02258
openalex publication_date 2020/09/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we propose a radical new approach for scale-out distributed DBMSs. Instead of hard-baking an architectural model, such as a shared-nothing architecture, into the distributed DBMS design, we aim for a new class of so-called architecture-less DBMSs. The main idea is that an architecture-less DBMS can mimic any architecture on a per-query basis on-the-fly without any additional overhead for reconfiguration. Our initial results show that our architecture-less DBMS AnyDB can provide significant speed-ups across varying workloads compared to a traditional DBMS implementing a static architecture.