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Performance Exploration of Virtualization Systems

Distributed, Parallel, and Cluster Computing · Submitted 12 Mar 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The experiments reveal that containers are the way-to-go for the fast execution of applications.

how it is stated · asserted 1.00 read the record →

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arXiv ID2103.07092 (version 1)
Pith IDRQCP527A, Pith's permanent record of this paper and its review
CitationChristophe Bobda, Danielle Tchuinkou Kwadjo, Joel Mandebi Mbongue. "Performance Exploration of Virtualization Systems." arXiv:2103.07092 (2021). https://pith.science/paper/RQCP527A
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,766 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.10 · human participants 0.02 · controlled comparison 0.52 · randomized assignment 0.02 · states quantitative result 0.05 · compares with prior results 0.87 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Virtualization has gained astonishing popularity in recent decades. It is applied in several application domains, including mainframes, personal computers, data centers, and embedded systems. While the benefits of virtualization are no longer to be demonstrated, it often comes at the price of performance degradation compared to native execution. In this work, we conduct a comparative study on the performance outcome of VMWare, KVM, and Docker against compute-intensive, IO-intensive, and system benchmarks. The experiments reveal that containers are the way-to-go for the fast execution of applications. It also shows that VMWare and KVM perform similarly on most of the benchmarks.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Virtualization has gained astonishing popularity in recent decades. background 1.00 0.04 0.01 asserted 1.00
s1 It is applied in several application domains, including mainframes, personal computers, data centers, and embedded systems. background 1.00 0.04 0.01 asserted 1.00
s2 While the benefits of virtualization are no longer to be demonstrated, it often comes at the price of performance degradation compared to native execution. background 0.97 0.06 0.03 asserted 0.93
s3 In this work, we conduct a comparative study on the performance outcome of VMWare, KVM, and Docker against compute-intensive, IO-intensive, and system benchmarks. contribution 0.63 0.94 0.04 asserted 0.87
s4 The experiments reveal that containers are the way-to-go for the fast execution of applications. result 0.56 0.91 0.86 asserted 1.00
s5 It also shows that VMWare and KVM perform similarly on most of the benchmarks. result 1.00 0.93 0.09 asserted 1.00

What kind of paper the classifier reports this is: empirical study 1.00 · evidence from observation or experiment 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Virtualization has gained astonishing popularity in recent decades. It is applied in several application domains, including mainframes, personal computers, data centers, and embedded systems. While the benefits of virtualization are no longer to be demonstrated, it often comes at the price of performance degradation compared to native execution. In this work, we conduct a comparative study on the performance outcome of VMWare, KVM, and Docker against compute-intensive, IO-intensive, and system benchmarks. The experiments reveal that containers are the way-to-go for the fast execution of applications. It also shows that VMWare and KVM perform similarly on most of the benchmarks.

Human review
How the literature uses it

1 arXiv paper cite this in 1 sentence

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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