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Silentium! Run-Analyse-Eradicate the Noise out of the DB/OS Stack

  • When multiple tenants compete for resources, database performance tends to suffer. Yet there are scenarios where guaranteed sub-millisecond latencies are crucial, such as in real-time data processing, IoT devices, or when operating in safety-critical environments. In this paper, we study how to make query latencies deterministic in the face of noise (whether caused by other tenants or unrelated operating system tasks). We perform controlled experiments with an in-memory database engine in a multi-tenant setting, where we successively eradicate noisy interference from within the system software stack, to the point where the engine runs close to bare-metal on the underlying hardware. We show that we can achieve query latencies comparable to the database engine running as the sole tenant, but without noticeably impacting the workload of competing tenants. We discuss these results in the context of ongoing efforts to build custom operating systems for database workloads, and point out that for certain use cases, the margin for improvement is rather narrow. In fact, for scenarios like ours, existing operating systems might just be good enough, provided that they are expertly configured. We then critically discuss these findings in the light of a broader family of database systems (e.g., including disk-based), and how to extend the approach of this paper accordingly. Low-latency databases; tail latency; real-time databases; bounded-time query processing; DB-OS co-engineering

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Metadaten
Author:Wolfgang MauererORCiDGND, Ralf Ramsauer, Edson R. F. Lucas, Stefanie ScherzingerORCiD
Handle:https://dl.gi.de/handle/20.500.12116/35805
DOI:https://doi.org/10.18420/btw2021-21
Parent Title (German):Datenbanksysteme für Business, Technologie und Web (BTW 2021): 13.-17. September 2021, Dresden, Deutschland
Publisher:Gesellschaft für Informatik
Document Type:conference proceeding (article)
Language:German
Year of first Publication:2021
Release Date:2022/04/11
Tag:DB-OS co-engineering; Low-latency databases; bounded-time query processing; real-time databases; tail latency
First Page:397
Last Page:421
Andere Schriftenreihe:GI-Edition. Proceedings ; 311
Institutes:Fakultät Informatik und Mathematik
Fakultät Informatik und Mathematik / Labor für Digitalisierung (LFD)
research focus:Digitalisierung
Licence (German):Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International