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Journal articles on the topic 'Containers Docker'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Žogots, Dainis, and Sandra Ežmale. "POSIBILITIES OF USING DOCKER CONTAINERS." HUMAN. ENVIRONMENT. TECHNOLOGIES. Proceedings of the Students International Scientific and Practical Conference, no. 23 (April 24, 2019): 160. http://dx.doi.org/10.17770/het2019.23.4409.

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Considering that in nowadays virtualization in various Information Technology (IT) systems is becoming more demanding, it is necessary to deeply understand the possibilities, advantages and risks of that kind of technologies. One of these virtualization tools is the Docker containers, which are becoming more convenient, faster, more popular and more profitable than virtual machines (VM). The aim of this work is to explore and analyze the possibilities of Docker containers and to evaluate the pros and cons of the given technology. Also determine when it is worth using Docker containers as virtu

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Felani, Rendra, Moh Noor Al Azam, Derry Pramono Adi, Agung Widodo, and Agustinus Bimo Gumelar. "Optimizing Virtual Resources Management Using Docker on Cloud Applications." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 14, no. 3 (2020): 319. http://dx.doi.org/10.22146/ijccs.57565.

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This study aims to optimize servers with low utility levels on hardware using container virtualization techniques from Docker. This study's primary focus is to maximize the work of the CPU, RAM, and Hard Drive. The application of virtualization techniques is to create many containers as each of the containers is for the application to run a cloud storage system with the CaaS service infrastructure concept (Container as a Service). Containers on infrastructure will interact with other containers using configuration commands at Docker to form an infrastructure service such as CaaS in general. Te

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Rivaldi, Ahmad, Ucuk Darusalam, and Deny Hidayatullah. "Perancangan Multi Node Web Server Menggunakan Docker Swarm dengan Metode Highavability." JURNAL MEDIA INFORMATIKA BUDIDARMA 4, no. 3 (2020): 529. http://dx.doi.org/10.30865/mib.v4i3.2147.

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Container-based virtualization is very popular among programming development in a lightweight virtualization because where the Linux kernel can divide resource-using containers to prevent uninterrupted performance between And as a burden divider in tackling the many incoming bandwidth. One of the most commonly used container-based virtualization is Docker. Docker itself is an open source software that can be changed to your liking. Docker containers can be used for clustering Web servers. It aims to reduce "a single point of failure" (SPOF) in a Web server. However, arranging a lot of containe

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Li, Peng, Huqing Nie, He Xu, and Lu Dong. "A Minimum-Aware Container Live Migration Algorithm in the Cloud Environment." International Journal of Business Data Communications and Networking 13, no. 2 (2017): 15–27. http://dx.doi.org/10.4018/ijbdcn.2017070102.

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Load imbalance is a problem faced by the distributed cloud computing platform. It often requires the information collaboration by each server in the cluster to carry out the container migration. Most of the algorithms which aim to reduce the downtime do not consider migration cost of the containers and perform some unnecessary migration. In this paper, with the aim to reduce the unnecessary migration of containers, an optimal minimum migration algorithm (OMNM) is proposed. By fitting the growth rate of Docker containers in the source server, the model can estimate the growth trend of each Dock

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McNab, Andrew. "Container support in Vac." EPJ Web of Conferences 214 (2019): 07034. http://dx.doi.org/10.1051/epjconf/201921407034.

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During 2017 support for Docker and Singularity containers was added to the Vac system, in addition to its long standing support for virtual machines. All three types of "logical machine" can now be run in parallel on the same pool of hypervisors, using container or virtual machine definitions published by experiments. We explain how CernVM-FS is provided to containers by the hypervisors, to avoid any need to operate the containers in privileged modes. Finally we describe how LHCb Docker containers use this model and have been used to validate the Vac implementation.

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Fourati, Mohamed Hedi, Soumaya Marzouk, Mohamed Jmaiel, and Tom Gu´erout. "Docker-C2A : Cost-Aware Autoscaler of Docker Containers for Microservices-based Applications." Advances in Science, Technology and Engineering Systems Journal 5, no. 6 (2020): 972–80. http://dx.doi.org/10.25046/aj0506116.

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Folarin, Amos A., Richard JB Dobson, and Stephen J. Newhouse. "NGSeasy: a next generation sequencing pipeline in Docker containers." F1000Research 4 (October 5, 2015): 997. http://dx.doi.org/10.12688/f1000research.7104.1.

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Motivation: Bioinformatic pipelines often use large numbers of components and deploying them incurs substantial configuration and maintenance burden that remains a significant barrier to reproducible research. Our aim is to define a new paradigm and best practices for developing, distributing and running pipelines encapsulated in Docker containers (lightweight virtualization), with a focus on next generation sequencing (NGS) workflows. This approach provides several advantages, namely: efficiency, portability, versioning and reproducibility. Using the NGSeasy pipeline, a user can quickly deplo

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DJOMI, MANZILA IZNIARDI, RENDY MUNADI, and RIDHA MULDINA NEGARA. "Analisis Performansi Layanan FTP danVideo Streaming berbasis Network Function Virtualization menggunakan Docker Containers." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 6, no. 2 (2018): 180. http://dx.doi.org/10.26760/elkomika.v6i2.180.

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ABSTRAKInfrastruktur jaringan seperti router, secara tradisional menggunakan hardware yang bersifat proprietary. Teknologi virtualisasi pada fungsi jaringan atau NFV (Network Function Virtualization) membuat layanan ini dapat diimplementasikan sebagai aplikasi perangkat lunak yang dapat dijalankan di lingkungan virtual atau Virtualized Network Functions (VNFs). Selain menggunakan hypervisor (hardware-level virtualization), teknologi virtualisasi memiliki alternatif pengimplementasian dengan menggunakan teknologi containers (Operating system -level virtualization), salah satunya menggunakan Doc

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Viereck, Martin. "x11docker: Run GUI applications in Docker containers." Journal of Open Source Software 4, no. 37 (2019): 1349. http://dx.doi.org/10.21105/joss.01349.

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10

Di Tommaso, Paolo, Emilio Palumbo, Maria Chatzou, Pablo Prieto, Michael L. Heuer, and Cedric Notredame. "The impact of Docker containers on the performance of genomic pipelines." PeerJ 3 (September 24, 2015): e1273. http://dx.doi.org/10.7717/peerj.1273.

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Genomic pipelines consist of several pieces of third party software and, because of their experimental nature, frequent changes and updates are commonly necessary thus raising serious deployment and reproducibility issues. Docker containers are emerging as a possible solution for many of these problems, as they allow the packaging of pipelines in an isolated and self-contained manner. This makes it easy to distribute and execute pipelines in a portable manner across a wide range of computing platforms. Thus, the question that arises is to what extent the use of Docker containers might affect t

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Boettiger, Carl, and Dirk Eddelbuettel. "An Introduction to Rocker: Docker Containers for R." R Journal 9, no. 2 (2017): 527. http://dx.doi.org/10.32614/rj-2017-065.

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Dziurzanski, Piotr, Shuai Zhao, Michal Przewozniczek, Marcin Komarnicki, and Leandro Soares Indrusiak. "Scalable distributed evolutionary algorithm orchestration using Docker containers." Journal of Computational Science 40 (February 2020): 101069. http://dx.doi.org/10.1016/j.jocs.2019.101069.

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13

Hardi, N., J. Blomer, G. Ganis, and R. Popescu. "Making containers lazy with Docker and CernVM-FS." Journal of Physics: Conference Series 1085 (September 2018): 032019. http://dx.doi.org/10.1088/1742-6596/1085/3/032019.

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14

Yadav, R. R., E. T. G. Sousa, and G. R. A. Callou. "Performance Comparison Between Virtual Machines and Docker Containers." IEEE Latin America Transactions 16, no. 8 (2018): 2282–88. http://dx.doi.org/10.1109/tla.2018.8528247.

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15

Dinkar, Anubhav, and Prakash Biswagar. "Analysis of Data Oriented Web Application Systems." Journal of University of Shanghai for Science and Technology 23, no. 05 (2021): 636–49. http://dx.doi.org/10.51201/jusst/21/05199.

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The purpose of this paper is to study and analyse the various tools that are used in modern day web application systems, which include but are not limited to Flask, Django, PostgreSQL, MongoDB, Docker containers, virtual machines, and so on. The main aim is to allow users of these technologies to be able to choose the right technology based on their needs and the scale of their applications. This is done with the help of sysbench and Docker and Linux based containers, along with basic Flask and Django web applications. Flask could be preferred for simpler web applications over Django. Docker a

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Santos, Eddie Antonio, Carson McLean, Christopher Solinas, and Abram Hindle. "How does docker affect energy consumption? Evaluating workloads in and out of Docker containers." Journal of Systems and Software 146 (December 2018): 14–25. http://dx.doi.org/10.1016/j.jss.2018.07.077.

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Aparicio Cotarelo, Borja, Antonio Nappi, Lukas Gedvilas, Luis Rodriguez Fernández, Theodoros Rizopoulos, and Artur Wiecek. "Running Oracle WebLogic on containers." EPJ Web of Conferences 214 (2019): 07002. http://dx.doi.org/10.1051/epjconf/201921407002.

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CERN IT department is providing production services to run containers. Given that, the IT-DB team, responsible to run the Java based platforms, has started a new project to move the WebLogic deployments from virtual or bare metal servers to containers: Docker on Kubernetes allow to improve the overall productivity of the team by reducing both operations time and time-to-delivery. Additionally, this framework allows us deploy our services in a fully-reproducible fashion. The scope of the project goes from the design and production of Docker images, deployment environments based on Kubernetes as

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Shetty, Jyoti, Sahana Upadhaya, Rajarajeshwari H S, Shobha G, and Jayant Chandra. "An Empirical Performance Evaluation of Docker Container, Openstack Virtual Machine and Bare Metal Server." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 1 (2017): 205. http://dx.doi.org/10.11591/ijeecs.v7.i1.pp205-213.

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<p>Server virtualization is a fundamental technological innovation that is used extensively in IT enterprises. Server virtualization enables creation of multiple virtual machines on single underlying physical machine. It is realized either in form of hypervisors or containers. Hypervisor is an extra layer of abstraction between the hardware and virtual machines that emulates underlying hardware. In contrast, the more recent container-based virtualization technology runs on host kernel without additional layer of abstraction.Thus container technology is expected to provide near native per

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Jackman, Shaun D., Tatyana Mozgacheva, Susie Chen, et al. "ORCA: a comprehensive bioinformatics container environment for education and research." Bioinformatics 35, no. 21 (2019): 4448–50. http://dx.doi.org/10.1093/bioinformatics/btz278.

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Abstract Summary The ORCA bioinformatics environment is a Docker image that contains hundreds of bioinformatics tools and their dependencies. The ORCA image and accompanying server infrastructure provide a comprehensive bioinformatics environment for education and research. The ORCA environment on a server is implemented using Docker containers, but without requiring users to interact directly with Docker, suitable for novices who may not yet have familiarity with managing containers. ORCA has been used successfully to provide a private bioinformatics environment to external collaborators at a

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20

G, Selvakumar. "A Novel Approach for Remote Compilation using Docker Containers." International Journal of Computer Communication and Informatics 1, no. 1 (2019): 46–51. http://dx.doi.org/10.34256/ijcci1918.

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The number of programming languages is getting more and more and developers are facing a tough time in installing all the compilers, libraries and supporting files for the development activities. Most of the time they want to experiment with new technologies, where the efforts required creating a complete environment to run the programs may not be feasible. On the other hand, several companies have started recruiting developers through their online programming platforms. In such situations, it is essential to protect the resources of the server from malicious programs written by the users by p

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Bernstein, David. "Containers and Cloud: From LXC to Docker to Kubernetes." IEEE Cloud Computing 1, no. 3 (2014): 81–84. http://dx.doi.org/10.1109/mcc.2014.51.

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D’Urso, Fabio, Corrado Santoro, and Federico Fausto Santoro. "Wale: A solution to share libraries in Docker containers." Future Generation Computer Systems 100 (November 2019): 513–22. http://dx.doi.org/10.1016/j.future.2019.03.049.

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Kang, Byungseok, Jaeyeop Jeong, and Hyunseung Choo. "Docker Swarm and Kubernetes Containers for Smart Home Gateway." IT Professional 23, no. 4 (2021): 75–80. http://dx.doi.org/10.1109/mitp.2020.3034116.

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24

Pérez de Prado, Rocío, Sebastián García-Galán, José Enrique Muñoz-Expósito, Adam Marchewka, and Nicolás Ruiz-Reyes. "Smart Containers Schedulers for Microservices Provision in Cloud-Fog-IoT Networks. Challenges and Opportunities." Sensors 20, no. 6 (2020): 1714. http://dx.doi.org/10.3390/s20061714.

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Docker containers are the lightweight-virtualization technology prevailing today for the provision of microservices. This work raises and discusses two main challenges in Docker containers’ scheduling in cloud-fog-internet of things (IoT) networks. First, the convenience to integrate intelligent containers’ schedulers based on soft-computing in the dominant open-source containers’ management platforms: Docker Swarm, Google Kubernetes and Apache Mesos. Secondly, the need for specific intelligent containers’ schedulers for the different interfaces in cloud-fog-IoT networks: cloud-to-fog, fog-to-

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Sharma, Neeraj. "Containerization of Web Application using Docker." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 701–5. http://dx.doi.org/10.22214/ijraset.2021.35152.

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Containerization in modern times became an efficient way of increasing productivity in IT development and operation processes. As the corporate world keeps growing, people want optimize the use of docker and want the proper usage of this valuable tool. Most of the companies and developers make use of Docker containers because it is a drastic improvement for cloud development, and DevOps more specifically. In this research, I present a detailed explanation of Docker technology which will comprise all the major aspects of docker. Further the paper will give an overview about deployment of web ap

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Vogel, Marcelo, Mikhail Borodin, Alessandra Forti, and Lukas Heinrich. "Standalone containers with ATLAS offline software." EPJ Web of Conferences 245 (2020): 07010. http://dx.doi.org/10.1051/epjconf/202024507010.

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This paper describes the deployment of the offline software of the ATLAS experiment at LHC in containers for use in production workflows such as simulation and reconstruction. To achieve this goal we are using Docker and Singularity, which are both lightweight virtualization technologies that can encapsulate software packages inside complete file systems. The deployment of offline releases via containers removes the interdependence between the runtime environment needed for job execution and the configuration of the computing nodes at the sites. Docker or Singularity would provide a uniform ru

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Wan, Xili, Xinjie Guan, Tianjing Wang, Guangwei Bai, and Baek-Yong Choi. "Application deployment using Microservice and Docker containers: Framework and optimization." Journal of Network and Computer Applications 119 (October 2018): 97–109. http://dx.doi.org/10.1016/j.jnca.2018.07.003.

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Concas, Matteo, Dario Berzano, Stefano Bagnasco, et al. "Plancton: an opportunistic distributed computing project based on Docker containers." Journal of Physics: Conference Series 898 (October 2017): 092049. http://dx.doi.org/10.1088/1742-6596/898/9/092049.

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De Benedictis, Marco, and Antonio Lioy. "Integrity verification of Docker containers for a lightweight cloud environment." Future Generation Computer Systems 97 (August 2019): 236–46. http://dx.doi.org/10.1016/j.future.2019.02.026.

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Dawadi, Babu Ram, Subarna Shakya, and Rajendra Paudyal. "CoMMoN: The Real-Time Container and Migration Monitoring as a Service in the Cloud." Journal of the Institute of Engineering 12, no. 1 (2017): 51–62. http://dx.doi.org/10.3126/jie.v12i1.16770.

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With the advancement of computing technologies, the modern cloud computing and virtualization system is highly distributed by the invention of better and light weight distributed applications packaging toolkit over the cloud environment, called the container technology. Cloud containers feature the management of applications with easy plug and play ability, migration, replication, relocation, upgrading et cetera in the real time. Such containers running different applications over the cloud infrastructure may consume different resources that require real time monitoring. Docker is an open sour

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Et.al, Jin Kim. "Consideration of Docker based network deployment for a data center: GSDC in Korea." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 464–69. http://dx.doi.org/10.17762/turcomat.v12i6.1873.

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For various operational reasons, this study presents a design and testbed environment for applying Docker-based system to a data center in Korea. We describe the design process of Docker based network. First, abstract structure is presented. Second, two conceptual routing models are provided. Third, the network plugin selection is stated. Then, we build Docker based system on a testbed environment as a pre-study for deployment to the entire system. There are plenty of factors to consider for the overall deployment. Representative factors include the routing method inside the server, the number

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Cavet, Cécile, Aurélien Bailly-Reyre, David Chamont, et al. "ComputeOps: containers for High Performance Computing." EPJ Web of Conferences 214 (2019): 07004. http://dx.doi.org/10.1051/epjconf/201921407004.

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The High Performance Computing (HPC) domain aims to optimize code to use the latest multicore and parallel technologies including specific processor instructions. In this computing framework, portability and reproducibility are key concepts. A way to handle these requirements is to use Linux containers. These "light virtual machines" allow users to encapsulate applications within its environment in processes. Containers have been recently highlighted because they provide multi-infrastructure environnement for both developers and system administrators. Furthermore, they offer reproducibility du

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Putri, Adinda Riztia, Rendy Munadi, and Ridha Muldina Negara. "Performance analysis of multi services on container Docker, LXC, and LXD." Bulletin of Electrical Engineering and Informatics 9, no. 5 (2020): 2008–11. http://dx.doi.org/10.11591/eei.v9i5.1953.

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The emergence of the container in various cloud platforms from Open Stack to Google Cloud Platform has marked the industry interest in opting for container as their cloud service solution. However, the cloud users should aware of performance overheads of different virtualization solutions in order to avoid quality of service degradation because different container platforms delivered different performances. This research evaluated how different container platforms (Docker, LXC, and LXD) impacted in running different TCP services and also measured system performance of each container compared t

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Chuchuen, Yanapat, Kritwara Rattanaopas, and Sarapee Chunkaew. "Quality of Service on Link Aggregation Network Virtualization for Docker Containers." Applied Mechanics and Materials 886 (January 2019): 227–32. http://dx.doi.org/10.4028/www.scientific.net/amm.886.227.

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Docker engine is an extremely powerful tool for PaaS platform of cloud computing. It gives benefits for large-scale of internet services. Web service is basic service for everyone who requires to access internet that web infrastructure must has scalability with load-balance web server called reverse proxy. The key answers for a large-scale web must have multiple web servers working together with high speed bandwidth. Moreover, multiple clusters can find in the same data center there are required to assign priority and quality of each cluster service. We investigate load-balance assign link agg

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Ruijun, Gu. "A Lightweight Experimental Platform for Big Data Based on Docker Containers." Journal of Physics: Conference Series 1437 (January 2020): 012104. http://dx.doi.org/10.1088/1742-6596/1437/1/012104.

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Guan, Xinjie, Xili Wan, Baek-Young Choi, Sejun Song, and Jiafeng Zhu. "Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers." IEEE Communications Letters 21, no. 3 (2017): 504–7. http://dx.doi.org/10.1109/lcomm.2016.2644658.

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Yim, Yin-Goo, and Hyun-Wook Jin. "Analysis of Impact of Multi-core CPU Bandwidth in Docker Containers." KIISE Transactions on Computing Practices 24, no. 12 (2018): 675–80. http://dx.doi.org/10.5626/ktcp.2018.24.12.675.

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Emsley, Iain, and David De Roure. "A Framework for the Preservation of a Docker Container." International Journal of Digital Curation 12, no. 2 (2018): 125–35. http://dx.doi.org/10.2218/ijdc.v12i2.509.

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Reliably building and maintaining systems across environments is a continuing problem. A project or experiment may run for years. Software and hardware may change as can the operating system. Containerisation is a technology that is used in a variety of companies, such as Google, Amazon and IBM, and scientific projects to rapidly deploy a set of services repeatably. Using Dockerfiles to ensure that a container is built repeatably, to allow conformance and easy updating when changes take place are becoming common within projects. Its seen as part of sustainable software development. Containeris

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Kim, Dongmin, Hanif Muhammad, Eunsam Kim, Sumi Helal, and Choonhwa Lee. "TOSCA-Based and Federation-Aware Cloud Orchestration for Kubernetes Container Platform." Applied Sciences 9, no. 1 (2019): 191. http://dx.doi.org/10.3390/app9010191.

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Kubernetes, a container orchestration tool for automatically installing and managing Docker containers, has recently begun to support a federation function of multiple Docker container clusters. This technology, called Kubernetes Federation, allows developers to increase the responsiveness and reliability of their applications by distributing and federating container clusters to multiple service areas of cloud service providers. However, it is still a daunting task to manually manage federated container clusters across all the service areas or to maintain the entire topology of cloud applicati

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Cavet, Cécile, Martin Souchal, Sébastien Gadrat, et al. "ComputeOps: Container for High Performance Computing." EPJ Web of Conferences 245 (2020): 07006. http://dx.doi.org/10.1051/epjconf/202024507006.

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The High Performance Computing (HPC) domain aims to optimize code in order to use the latest multicore and parallel technologies including specific processor instructions. In this computing framework, portability and reproducibility are key concepts. A way to handle these requirements is to use Linux containers. These “light virtual machines” allow to encapsulate applications within its environment in Linux processes. Containers have been recently rediscovered due to their abilities to provide both multi-infrastructure environnement for developers and system administrators and reproducibility

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Bhat, Pranava. "Centralised Cleanup Service for Kubernetes and Cloud Resources." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1545–49. http://dx.doi.org/10.22214/ijraset.2021.36648.

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The architectural style of developing a software application using loosely coupled and highly cohesive services can be termed as microservices architecture. The microservices allow agile software development and enable businesses to build and deliver applications quickly. To achieve the benefits of microservices, an underlying infrastructure that supports them must exist. This includes CI/CD pipelines, execution environments like virtual machines and containers, logging and monitoring, communication mechanisms, and so on. Containers are lightweight, enable multiple execution environments to ex

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Widjajarto, Adityas, Deden Witarsyah Jacob, and Muharman Lubis. "Live migration using checkpoint and restore in userspace (CRIU): Usage analysis of network, memory and CPU." Bulletin of Electrical Engineering and Informatics 10, no. 2 (2021): 837–47. http://dx.doi.org/10.11591/eei.v10i2.2742.

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Currently, cloud service providers have used a variety of operational mechanisms to support the company's business processes. Therefore, the services are stored on the company's server, which presents in the form of infrastructure, platform, software, and function. There are several vulnerabilities that have been faced in the implementation such as system failure, natural disasters, human errors, or attacks from unauthorized parties. In addition, the time of unavailability of services can be minimized by doing an LM, in which many servers have been used the containers to behave like a service

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Januar Al Amien and Doni Winarso. "ANALISIS PENINGKATAN KINERJA FTP SERVER MENGGUNAKAN LOAD BALANCING PADA CONTAINER." JURNAL FASILKOM 9, no. 3 (2019): 8–18. http://dx.doi.org/10.37859/jf.v9i3.1667.

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Abstract Cloud computing is a technology that answers the challenge of the need for efficient computing technology. There are many things that can be implemented using cloud computing technologies such as web services, storage services, applications and others. Use of cloud computing using container technology can help in the management of applications and optimize the use of resources in the form of memory and processor usage on the server. In this research docker containers implemented by service of FTP (File Transfer Protocol). The FTP service is made into 3 containers within a single

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Knoth, Christian, and Daniel Nüst. "Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers." Remote Sensing 9, no. 3 (2017): 290. http://dx.doi.org/10.3390/rs9030290.

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Chae, MinSu, HwaMin Lee, and Kiyeol Lee. "A performance comparison of linux containers and virtual machines using Docker and KVM." Cluster Computing 22, S1 (2017): 1765–75. http://dx.doi.org/10.1007/s10586-017-1511-2.

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DHANY, AKBAR. "Implementation of Docker and Continuous Integration / Continuous Delivery for Management Information System Development." IJEEIT International Journal of Electrical Engineering and Information Technology 3, no. 2 (2021): 20–24. http://dx.doi.org/10.29138/ijeeit.v3i2.1208.

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A series of Development and Operations (DevOps) in the process of making the Narotama University Management Information System have not been implemented properly by previous developers. There are improvements or additional features of the Management Information System that are in accordance with the functionality and the increasing development needs that will be used by the academic community, so that the Management Information System developer has a little difficulty in integrating documents and distributing applications with different packages to the Production Server. In this study, a new s

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Wiebels, Kristina, and David Moreau. "Leveraging Containers for Reproducible Psychological Research." Advances in Methods and Practices in Psychological Science 4, no. 2 (2021): 251524592110178. http://dx.doi.org/10.1177/25152459211017853.

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Containers have become increasingly popular in computing and software engineering and are gaining traction in scientific research. They allow packaging up all code and dependencies to ensure that analyses run reliably across a range of operating systems and software versions. Despite being a crucial component for reproducible science, containerization has yet to become mainstream in psychology. In this tutorial, we describe the logic behind containers, what they are, and the practical problems they can solve. We walk the reader through the implementation of containerization within a research w

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Bocchi, Enrico, Jakob Blomer, Simone Mosciatti, and Andrea Valenzuela. "CernVM-FS powered container hub." EPJ Web of Conferences 251 (2021): 02033. http://dx.doi.org/10.1051/epjconf/202125102033.

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Containers became the de-facto standard to package and distribute modern applications and their dependencies. The HEP community demonstrates an increasing interest in such technology, with scientists encapsulating their analysis workflow and code inside a container image. The analysis is first validated on a small dataset and minimal hardware resources to then run at scale on the massive computing capacity provided by the grid. The typical approach for distributing containers consists of pulling their image from a remote registry and extracting it on the node where the container runtime (e.g.,

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Lobato Pardavila, Lorena, Burt Holzman, Edward Karavakis, Lincoln Bryant, and Steven Timm. "FTS3: Data Movement Service in containers deployed in OKD." EPJ Web of Conferences 251 (2021): 02058. http://dx.doi.org/10.1051/epjconf/202125102058.

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The File Transfer Service (FTS3) is a data movement service developed at CERN which is used to distribute the majority of the Large Hadron Collider’s data across the Worldwide LHC Computing Grid (WLCG) infrastructure. At Fermilab, we have deployed FTS3 instances for Intensity Frontier experiments (e.g. DUNE) to transfer data in America and Europe, using a container-based strategy. In this article we summarize our experience building docker images based on work from the SLATE project (slateci.io) and deployed in OKD, the community distribution of Red Hat OpenShift. Additionally, we discuss our

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Kaur, Pinkpreet, Anupama Gupta, and Er Harpreet Kaur. "A Novel System Defined Network Solution for User Legitimacy Assurance in the Docker Containers." IARJSET 5, no. 12 (2018): 33–42. http://dx.doi.org/10.17148/iarjset.2018.5126.

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