The Cure is in the Cause: A Filesystem for Container Debloating
Paper i proceeding, 2025

Containers have become a standard for deploying applications due to their convenience, but they often suffer from significant software bloat-unused files that inflate image sizes, increase provisioning times, and waste resources. These inefficiencies are particularly problematic in serverless and edge computing scenarios, where resources are constrained, and performance is critical. Existing debloating tools are limited in scope and effectiveness, failing to address the widespread issue of container bloat at scale. In this paper, we conduct a large-scale evaluation of container bloat, analyzing the top 20 most downloaded containers on DockerHub. We evaluate two state-of-the-art debloating tools, identify their limitations, and propose a novel solution, BAFFS, which addresses bloat at the filesystem level by introducing a flexible debloating layer that preserves the layered structure of container filesystems. The debloating layer can be organized in different ways to meet diverse requirements. Our evaluation demonstrates that over 50% of the top-downloaded containers have more than 60% bloat, and BAFFS reduces container sizes significantly while maintaining functionality. For serverless functions, BAFFS reduces cold start latency by up to 68%. Additionally, when combined with lazy-loading snapshotters, BAFFS enhances provisioning efficiency, reducing conversion times by up to 93% and provisioning times by up to 19%.

Författare

Huaifeng Zhang

Chalmers, Data- och informationsteknik, Dator- och nätverkssystem

Göteborgs universitet

Mohannad Alhanahnah

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Göteborgs universitet

Philipp Leitner

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Göteborgs universitet

Ahmed Ali-Eldin Hassan

Göteborgs universitet

Chalmers, Data- och informationsteknik, Dator- och nätverkssystem

Proceedings of the 2025 ACM Symposium on Cloud Computing

16th ACM Symposium on Cloud Computing, SOCC'25
virtual, ,

Ämneskategorier (SSIF 2025)

Datavetenskap (datalogi)

Datorteknik

Datorsystem

DOI

10.48550/arXiv.2305.04641

Mer information

Senast uppdaterat

2025-12-03