A Wake-Up Call for Kernel-Bypass on Modern Hardware

Kernel-bypass technologies eliminate the overhead of traditional OS stacks, offering direct access to high-speed I/O devices such as network and storage. This paper argues that kernel-bypass is no longer an optional optimization but a necessary architectural strategy for I/O-heavy applications like database systems. The motivation stems from two trends: stagnating CPU performance and rapid advances in I/O hardware, such as 800 Gbit/s NICs and SSDs exceeding 12M IOPS. In our evaluation, we show that, given these trends, it is no longer possible for DBMSs to saturate modern NICs or SSDs with traditional kernel stacks. We thus urge the research community to prioritize kernel-bypass technologies to fully harness the potential of emerging hardware in database systems.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1145/3736227.3736235
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
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article

A Wake-Up Call for Kernel-Bypass on Modern Hardware

Muhammad El-Hindi, Matthias Jasny, Carsten Binnig, Tobias Ziegler
Parallel Computing and Optimization Techniques
article

A Wake-Up Call for Kernel-Bypass on Modern Hardware

Muhammad El-Hindi, Matthias Jasny, Carsten Binnig, Tobias Ziegler
article en

Abstract

Kernel-bypass technologies eliminate the overhead of traditional OS stacks, offering direct access to high-speed I/O devices such as network and storage. This paper argues that kernel-bypass is no longer an optional optimization but a necessary architectural strategy for I/O-heavy applications like database systems. The motivation stems from two trends: stagnating CPU performance and rapid advances in I/O hardware, such as 800 Gbit/s NICs and SSDs exceeding 12M IOPS. In our evaluation, we show that, given these trends, it is no longer possible for DBMSs to saturate modern NICs or SSDs with traditional kernel stacks. We thus urge the research community to prioritize kernel-bypass technologies to fully harness the potential of emerging hardware in database systems.

Technische Universität Darmstadt (DE)
Openalex Percentile: Top 83%
Parallel Computing and Optimization Techniques
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