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.
@article{arxiv.2009.02258,
title = {AnyDB: An Architecture-less DBMS for Any Workload},
author = {Tiemo Bang and Norman May and Ilia Petrov and Carsten Binnig},
journal= {arXiv preprint arXiv:2009.02258},
year = {2020}
}
Comments
Submitted to 11th Annual Conference on Innovative Data Systems Research (CIDR 21)