Docker: lightweight Linux containers for consistent development and deployment

By D. Merkel. 2014

4,368 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/875d90d4f66b07f90687b27ab304e04a3f666fc2

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Citations in the corpus

This paper is included in the Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16). (unknown): “Secure containers behave like regular containers in the Docker engine.”
Serverless Computation with OpenLambda (2016, background): “One leading solution in this space is containers, a server-oriented repackaging of Unix-style processes with additional namespace virtualization [37] [38].”
Elasticity in Cloud Computing: State of the Art and Research Challenges (2018, methodology): “There are various implementations of containers such as: Docker [181] is an open source management tool for containers that automates the deployment of applications.”
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions (2020, methodology): “We use various open source software packages for our experiments, most notably Docker [24], scipy and numpy [41], PyTorch [31] and torchvision [23].”
Habitat: A Platform for Embodied AI Research (2019, methodology): “Participants in Habitat Challenge are asked to upload Docker containers [19] with their agents via EvalAI.”
Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference (2017, methodology): “Docker: Lightweight linux containers for consistent development and deployment.”
Randomness In Neural Network Training: Characterizing The Impact of Tooling (2021, background): “Advances in tooling have aimed to simplify replication, ranging from shareable notebooks [Kluyver et al., 2016], dockerization [Merkel, 2014], machine learning platforms where code and data is easily shareable [Isdahl and Gundersen, 2019] and software patches to ensure determinism for a subset of…”
Deep convolutional models improve predictions of macaque V1 responses to natural images (2017, methodology): “In addition, we used Numpy/Scipy [69], Matplotlib [70], Seaborn [71], Jupyter [72], Tensorflow [67], and Docker [73].”
Caliban: Docker-based job manager for reproducible workflows (2020, background): “One solution to this problem is Docker (Merkel, 2014).”
Resource Management in Fog/Edge Computing (2018, background): “its dependent libraries, focusing on Platform-as-a-Service (PaaS) that makes container-based applications easily deployed and orchestrated. Representative container tools include LXC [109] and Docker [110] for building and deploying containers, and Kubernetes [111] for orchestration. Lightweight vir”
Unreproducible Research is Reproducible (2019, background): “More tools are made available to simplify the replication of experiments reported in papers, building on new technologies such as shareable notebooks (Kluyver et al., 2016; Forde et al., 2018), containerization of operation systems, such as Docker (Merkel, 2014) and Singularity (Kurtzer et al., 2017”
NSML: Meet the MLaaS platform with a real-world case study (2018, methodology): “Docker container is known as stable, light, and low-latent virtualization layer comparing to virtual machine(Felter et al., 2015) or virtual environment for python (Reitz & Schlusser, 2016).”
The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences (2016, methodology): “Utilizing Docker capabilities researchers can develop, prototype, and test applications in their choice of operating systems and familiar development environments, and share them using iPlant CI without additional programming effort.”
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices (2020, background): “This increased popularity of service-oriented architectures (SOA) of web services has been made possible by the rise of containerization [21, 70, 92, 108] and container-orchestration frameworks [19, 20, 90, 119] that enable modular, low-overhead, low-cost, elastic, and highefficiency development and”
Massive mining of publicly available RNA-seq data from human and mouse (2017, methodology): “Each instance is capable of running 2 Kallisto Docker instances in parallel.”
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense (2019, background): “Chin and Xiong [28] also developed the Dynamic Generated Con-tainment System (DGCS) based on a virtualized Docker [106] to protect the host service and to detect a threat.”
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update (2016, methodology): “To account for the increased traffic through both Enrichr’s web interface and API, the application and its dependencies are now pack-aged into a Docker container (34) running the Debian 8.0 operating system with Java 8 installed.”
SOCK: Rapid Task Provisioning with Serverless-Optimized Containers (2018, methodology): “Rather, general-purpose tools such as Docker [36] are commonly used to construct containers using a variety of Linux mechanisms to allocate storage, isolate resources logically, and isolate performance.”
The Library of Integrated Network-based Cellular Signatures (LINCS) NIH Program: System-level Cataloging of Human Cells Response to Perturbations (2017, methodology): “This is achieved by publishing pipelines as Notebooks (Shen, 2014;Wang andMa’ayan, 2016), and containerizing pipelines using platforms such as Docker (Merkel, 2014).”