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Towards a More Reliable and Available Docker-based Container Cloud

Distributed, Parallel, and Cluster Computing · Submitted 28 Aug 2017

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

The authors' main claim Our evaluation shows that HYDRA imposes only moderate overheads even under load, while achieving much higher container availability.

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arXiv ID1708.08399 (version 1)
Pith ID4CHPR7GE, Pith's permanent record of this paper and its review
CitationMohan Dhawan (IBM Research - India), Mudit Verma (IBM Research - India). "Towards a More Reliable and Available Docker-based Container Cloud." arXiv:1708.08399 (2017). https://pith.science/paper/4CHPR7GE
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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, 4,216 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.68 · human participants 0.02 · controlled comparison 0.28 · randomized assignment 0.01 · states quantitative result 0.08 · compares with prior results 0.32 · mentions code or data availability 0.06.

The abstract, sentence by sentence

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

Operating System-level virtualization technology, or containers as they are commonly known, represents the next generation of light-weight virtualization, and is primarily represented by Docker. However, Docker's current design does not complement the SLAs from Docker-based container cloud offerings promising both reliability and high availability. The tight coupling between the containers and the Docker daemon proves fatal for the containers' uptime during daemon's unavailability due to either failure or upgrade. We present the design and implementation of HYDRA, which fundamentally isolates the containers from the running daemon. Our evaluation shows that HYDRA imposes only moderate overheads even under load, while achieving much higher container availability.

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 Operating System-level virtualization technology, or containers as they are commonly known, represents the next generation of light-weight virtualization, and is primarily represented by Docker. background 1.00 0.04 0.03 asserted 1.00
s1 However, Docker's current design does not complement the SLAs from Docker-based container cloud offerings promising both reliability and high availability. gap 0.52 0.10 0.05 asserted 1.00
s2 The tight coupling between the containers and the Docker daemon proves fatal for the containers' uptime during daemon's unavailability due to either failure or upgrade. background 0.81 0.12 0.05 asserted 1.00
s3 We present the design and implementation of HYDRA, which fundamentally isolates the containers from the running daemon. contribution 0.98 0.93 0.20 asserted 0.99
s4 Our evaluation shows that HYDRA imposes only moderate overheads even under load, while achieving much higher container availability. result 1.00 0.96 0.76 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from observation or experiment 0.99.

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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

Operating System-level virtualization technology, or containers as they are commonly known, represents the next generation of light-weight virtualization, and is primarily represented by Docker. However, Docker's current design does not complement the SLAs from Docker-based container cloud offerings promising both reliability and high availability. The tight coupling between the containers and the Docker daemon proves fatal for the containers' uptime during daemon's unavailability due to either failure or upgrade. We present the design and implementation of HYDRA, which fundamentally isolates the containers from the running daemon. Our evaluation shows that HYDRA imposes only moderate overheads even under load, while achieving much higher container availability.

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