Revealing the Unstable Foundations of eBPF-Based Kernel Extensions

eBPF programs significantly enhance kernel capabilities, but encounter substantial compatibility challenges due to their deep integration with unstable kernel internals. We introduce DepSurf, a tool that identifies dependency mismatches between eBPF programs and kernel images. Our analysis of 25 kernel images spanning 8 years reveals that dependency mismatches are pervasive, stemming from kernel source code evolution, diverse configuration options, and intricate compilation processes. We apply DepSurf to 53 real-world eBPF programs, and find that 83% are impacted by dependency mismatches, underscoring the urgent need for systematic dependency analysis. By identifying these mismatches, DepSurf enables a more robust development and maintenance process for eBPF programs, enhancing their reliability across a wide range of kernels.

Authors

Institutions

Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1145/3689031.3717497
Citations
3
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
9.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revealing the Unstable Foundations of eBPF-Based Kernel Extensions

Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Shawn Zhong, Jing Liu
3 citations
Software Engineering Research
9.74
article

Revealing the Unstable Foundations of eBPF-Based Kernel Extensions

Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Shawn Zhong, Jing Liu
article en
3 citations

Abstract

eBPF programs significantly enhance kernel capabilities, but encounter substantial compatibility challenges due to their deep integration with unstable kernel internals. We introduce DepSurf, a tool that identifies dependency mismatches between eBPF programs and kernel images. Our analysis of 25 kernel images spanning 8 years reveals that dependency mismatches are pervasive, stemming from kernel source code evolution, diverse configuration options, and intricate compilation processes. We apply DepSurf to 53 real-world eBPF programs, and find that 83% are impacted by dependency mismatches, underscoring the urgent need for systematic dependency analysis. By identifying these mismatches, DepSurf enables a more robust development and maintenance process for eBPF programs, enhancing their reliability across a wide range of kernels.

Microsoft (United States) (US), University of Wisconsin–Madison (US)
Openalex Percentile: Top 3%
Software Engineering Research
9.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.