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DBMS Annihilator: A High-Performance Database Workload Generator in Action

Lerner, Alberto ; Jasny, Matthias ; Jepsen, Theo ; Binnig, Carsten ; Cudré-Mauroux, Philippe (2022)
DBMS Annihilator: A High-Performance Database Workload Generator in Action.
In: Proceedings of the VLDB Endowment, 15 (12)
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Modern DBMS engines can achieve unprecedented transaction processing speeds thanks to the invention of clever data structures, concurrency schemes, and improvements in CPU and memory subsystems. However, developing realistic and efficient networked clients to benchmark these systems remains daunting. Simply put, traditional client-side networking stacks present high overheads and thus cannot exercise the high performance that modern DBMSs can, in principle, provide. In this demo, we propose a different approach to benchmarking; we showcase a new framework that leverages hardware-software co-design. With our system, which we call the DBMS Annihilator, workloads are specified using a high-level language that is then converted into hardware (FPGA) for execution. The hardware we use is a commodity Smart NIC, allowing workloads to be fully reproducible to anyone using such hardware. A software console and dashboard provide real-time visibility and interactivity, which we explore in this demo.

Typ des Eintrags: Artikel
Erschienen: 2022
Autor(en): Lerner, Alberto ; Jasny, Matthias ; Jepsen, Theo ; Binnig, Carsten ; Cudré-Mauroux, Philippe
Art des Eintrags: Bibliographie
Titel: DBMS Annihilator: A High-Performance Database Workload Generator in Action
Sprache: Englisch
Publikationsjahr: 1 August 2022
Verlag: ACM
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Proceedings of the VLDB Endowment
Jahrgang/Volume einer Zeitschrift: 15
(Heft-)Nummer: 12
URL / URN: https://doi.org/10.14778/3554821.3554874
Kurzbeschreibung (Abstract):

Modern DBMS engines can achieve unprecedented transaction processing speeds thanks to the invention of clever data structures, concurrency schemes, and improvements in CPU and memory subsystems. However, developing realistic and efficient networked clients to benchmark these systems remains daunting. Simply put, traditional client-side networking stacks present high overheads and thus cannot exercise the high performance that modern DBMSs can, in principle, provide. In this demo, we propose a different approach to benchmarking; we showcase a new framework that leverages hardware-software co-design. With our system, which we call the DBMS Annihilator, workloads are specified using a high-level language that is then converted into hardware (FPGA) for execution. The hardware we use is a commodity Smart NIC, allowing workloads to be fully reproducible to anyone using such hardware. A software console and dashboard provide real-time visibility and interactivity, which we explore in this demo.

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Data and AI Systems
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > D: Technologie
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > D: Technologie > Teilprojekt D2: Data-Center-Technologie
Hinterlegungsdatum: 04 Mai 2023 09:02
Letzte Änderung: 01 Aug 2023 10:29
PPN: 510061338
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