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Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors

Soltesz, Stephen, Pötzl, Herbert, Fiuczynski, Marc E., Bavier, Andy, Peterson, Larry·2007·Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007

Abstract

Hypervisors, popularized by Xen and VMware, are quickly becoming commodity. They are appropriate for many usage scenarios, but there are scenarios that require system virtualization with high degrees of both isolation and efficiency. Examples include HPC clusters, the Grid, hosting centers, and PlanetLab. We present an alternative to hypervisors that is better suited to such scenarios. The approach is a synthesis of prior work on resource containers and security containers applied to general-purpose, time-shared operating systems. Examples of such container-based systems include Solaris 10, Virtuozzo for Linux, and Linux-VServer. As a representative instance of container-based systems, this paper describes the design and implementation of Linux-VServer. In addition, it contrasts the architecture of Linux-VServer with current generations of Xen, and shows how Linux-VServer provides comparable support for isolation and superior system efficiency.

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Metadata

Authors
Soltesz, S., Pötzl, H., Fiuczynski, M. E., Bavier, A., & Peterson, L.
Venue
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Publisher
ACM
Published
2007-03-21
Pages
275-287
OpenAlex
W2140953464
Cited by
662
References
0
FWCI
23.99
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors. https://app.cochat.ai/papers/10.1145/1272996.1273025
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Soltesz, S., Pötzl, H., Fiuczynski, M. E., Bavier, A., & Peterson, L. (2007). Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors. Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007. https://doi.org/10.1145/1272996.1273025

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.