Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 377

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Scale and performance in the Denali isolation kernel

Whitaker, Andrew, Shaw, Marianne, Gribble, Steven D.·2002·ACM SIGOPS Operating Systems Review

Abstract

This paper describes the Denali isolation kernel, an operating system architecture that safely multiplexes a large number of untrusted Internet services on shared hardware. Denali's goal is to allow new Internet services to be "pushed" into third party infrastructure, relieving Internet service authors from the burden of acquiring and maintaining physical infrastructure. Our isolation kernel exposes a virtual machine abstraction, but unlike conventional virtual machine monitors, Denali does not attempt to emulate the underlying physical architecture precisely, and instead modifies the virtual architecture to gain scale, performance, and simplicity of implementation. In this paper, we first discuss design principles of isolation kernels, and then we describe the design and implementation of Denali. Following this, we present a detailed evaluation of Denali, demonstrating that the overhead of virtualization is small, that our architectural choices are warranted, and that we can successfully scale to more than 10,000 virtual machines on commodity hardware.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/844128.844147

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 377

Metadata

Authors
Whitaker, A., Shaw, M., & Gribble, S. D.
Venue
ACM SIGOPS Operating Systems Review
Published
2002-12-31
Volume
36
Issue
SI
Pages
195-209
ISSN
0163-5980 (ISSN-L)
OpenAlex
W2089661946
Cited by
377
References
1
FWCI
29.78
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Scale and performance in the Denali isolation kernel. https://app.cochat.ai/papers/10.1145/844128.844147
The paper
Whitaker, A., Shaw, M., & Gribble, S. D. (2002). Scale and performance in the Denali isolation kernel. ACM SIGOPS Operating Systems Review. https://doi.org/10.1145/844128.844147

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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