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https://doi.org/10.1145/367421...
Article . 2024 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2024
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Preprint . 2024
Data sources: DBLP
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bypass4netns: Accelerating TCP/IP Communications in Rootless Containers

Authors: Naoki Matsumoto; Akihiro Suda;

bypass4netns: Accelerating TCP/IP Communications in Rootless Containers

Abstract

"Rootless containers" is a concept to run the entire container runtimes and containers without the root privileges. It protects the host environment from attackers exploiting container runtime vulnerabilities. However, when rootless containers communicate with external endpoints, the network performance is low compared to rootful containers because of the overhead of rootless networking components. In this paper, we propose bypass4netns that accelerates TCP/IP communications in rootless containers by bypassing slow networking components. bypass4netns uses sockets allocated on the host. It switches sockets in containers to the host's sockets by intercepting syscalls and injecting the file descriptors using Seccomp. Our method with Seccomp can handle statically linked applications that previous works could not handle. Also, we propose high-performance rootless multi-node communication. We confirmed that rootless containers with bypass4netns achieve more than 30x faster throughput than rootless containers without it. In addition, we evaluated performance with applications and it showed large improvements on some applications.

11 pages, 12 figures

Keywords

Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Computer Science - Operating Systems, Operating Systems (cs.OS), D.4.4

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average