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Volume 15, No. 1

DBOS: A DBMS-oriented Operating System

Authors:
Athinagoras Skiadopoulos (Stanford University)* Qian Li (Stanford University) Peter Kraft (Stanford University) Kostis Kaffes (Stanford University) Daniel Hong (Massachusetts Institute of Technology (MIT) Media Lab) Shana Mathew (Massachusetts Institute of Technology ) David Bestor (MIT) Michael Cafarella (MIT CSAIL) Vijay Gadepally (MIT Lincoln Laboratory - USA) Goetz Graefe (Google) Jeremy Kepner (MIT Lincoln Laboratory) Christos Kozyrakis (Stanford University) Tim Kraska (MIT) Michael Stonebraker (MIT) Lalith Suresh (VMware Research) Matei Zaharia (Stanford and Databricks)
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Abstract

This paper lays out the rationale for building a completely new operating system (OS) stack. Rather than build on a single node OS together with separate cluster schedulers, distributed filesystems, and network managers, we argue that a distributed transactional DBMS should be the basis for a scalable cluster OS. We show herein that such a database OS (DBOS) can do scheduling, file management, and inter-process communication with competitive performance to existing systems. In addition, significantly better analytics can be provided as well as a dramatic reduction in code complexity through implementing OS services as standard database queries, while implementing low-latency transactions and high availability only once.

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