Relevant bibliographies by topics / Docker container orchestration

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Docker container orchestration'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Docker container orchestration"

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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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Farshteindiker, Adi, and Rami Puzis. "Leadership Hijacking in Docker Swarm and Its Consequences." Entropy 23, no. 7 (2021): 914. http://dx.doi.org/10.3390/e23070914.

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With the advent of microservice-based software architectures, an increasing number of modern cloud environments and enterprises use operating system level virtualization, which is often referred to as container infrastructures. Docker Swarm is one of the most popular container orchestration infrastructures, providing high availability and fault tolerance. Occasionally, discovered container escape vulnerabilities allow adversaries to execute code on the host operating system and operate within the cloud infrastructure. We show that Docker Swarm is currently not secured against misbehaving manag
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Truyen, Eddy, Dimitri Van Landuyt, Davy Preuveneers, Bert Lagaisse, and Wouter Joosen. "A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks." Applied Sciences 9, no. 5 (2019): 931. http://dx.doi.org/10.3390/app9050931.

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(1) Background: Container orchestration frameworks provide support for management ofcomplex distributed applications. Different frameworks have emerged only recently, and they havebeen in constant evolution as new features are being introduced. This reality makes it difficult forpractitioners and researchers to maintain a clear view of the technology space. (2) Methods: wepresent a descriptive feature comparison study of the three most prominent orchestrationframeworks: Docker Swarm, Kubernetes, and Mesos, which can be combined with Marathon,Aurora or DC/OS. This study aims at (i) identifying
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Castro León, José. "Advanced features of the CERN OpenStack Cloud." EPJ Web of Conferences 214 (2019): 07026. http://dx.doi.org/10.1051/epjconf/201921407026.

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The CERN OpenStack cloud has been delivering a wide variety of services to the whole laboratory since it entered in production in 2013. Initially, standard resources such as Virtual Machines and Block Storage were offered. Today, the cloud offering includes advanced features such as Container Orchestration (for Kubernetes, Docker Swarm mode, Mesos/DCOS clusters), File Shares and Bare Metal, and the Cloud team is preparing the addition of Networking and Workflow-as-a-Service components. In this paper, we will describe these advanced features, the OpenStack projects that provide them, as well as
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Bocchi, Enrico, Luca Canali, Diogo Castro, et al. "ScienceBox Converging to Kubernetes containers in production for on-premise and hybrid clouds for CERNBox, SWAN, and EOS." EPJ Web of Conferences 245 (2020): 07047. http://dx.doi.org/10.1051/epjconf/202024507047.

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Docker containers are the de-facto standard to package, distribute, and run applications on cloud-based infrastructures. Commercial providers and private clouds expand their offer with container orchestration engines, making the management of resources and containerized applications tightly integrated. The Storage Group of CERN IT leverages on container technologies to provide ScienceBox: An integrated software bundle with storage and computing services for general purposes and scientific use. ScienceBox features distributed scalable storage, sync&share functionalities, and a web-based dat
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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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Taherizadeh, Salman, Vlado Stankovski, and Marko Grobelnik. "A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers." Sensors 18, no. 9 (2018): 2938. http://dx.doi.org/10.3390/s18092938.

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The adoption of advanced Internet of Things (IoT) technologies has impressively improved in recent years by placing such services at the extreme Edge of the network. There are, however, specific Quality of Service (QoS) trade-offs that must be considered, particularly in situations when workloads vary over time or when IoT devices are dynamically changing their geographic position. This article proposes an innovative capillary computing architecture, which benefits from mainstream Fog and Cloud computing approaches and relies on a set of new services, including an Edge/Fog/Cloud Monitoring Sys
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Raza, Syed M., Jaeyeop Jeong, Moonseong Kim, Byungseok Kang, and Hyunseung Choo. "Empirical Performance and Energy Consumption Evaluation of Container Solutions on Resource Constrained IoT Gateways." Sensors 21, no. 4 (2021): 1378. http://dx.doi.org/10.3390/s21041378.

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Containers virtually package a piece of software and share the host Operating System (OS) upon deployment. This makes them notably light weight and suitable for dynamic service deployment at the network edge and Internet of Things (IoT) devices for reduced latency and energy consumption. Data collection, computation, and now intelligence is included in variety of IoT devices which have very tight latency and energy consumption conditions. Recent studies satisfy latency condition through containerized services deployment on IoT devices and gateways. They fail to account for the limited energy a
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Tapia, Freddy, Miguel Ángel Mora, Walter Fuertes, Jorge Edison Lascano, and Theofilos Toulkeridis. "A Container Orchestration Development that Optimizes the Etherpad Collaborative Editing Tool through a Novel Management System." Electronics 9, no. 5 (2020): 828. http://dx.doi.org/10.3390/electronics9050828.

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The use of collaborative tools has notably increased recently. It is common to see distinct users that need to work simultaneously on shared documents. In most cases, large companies provide tools whose implementations have been a very complicated and expensive task. Likewise, their platform deployment requirements should be robust hardware infrastructures. It becomes even more critical when their main target is to reach scalability and highavailability. Therefore, this study aims to design and implement a microservices-based collaborative architecture using assembled containers in the cloud,
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Sharma, Mayank, Eraldo Silva Junior, Boris Iliev Vasilev, Maarten Litmaath, and Renato Santana. "The SIMPLE Framework for deploying containerized grid services." EPJ Web of Conferences 245 (2020): 07017. http://dx.doi.org/10.1051/epjconf/202024507017.

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The Worldwide LHC Computing Grid (WLCG) currently has about 170 sites. In order to support WLCG workloads, each site has to deploy and maintain a number of possibly complex grid services. Quite often, site managers require assistance of WLCG experts, for example when new software versions need to be deployed. Modern configuration management (e.g. Puppet, Ansible), container orchestration (e.g. Docker Swarm, Kubernetes) and containerization technologies (e.g. Docker, Podman) can help make such activities more lightweight by means of packaging sensible configurations of grid services and providi
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Dissertations / Theses on the topic "Docker container orchestration"

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Andersson, Johan, and Fredrik Norrman. "Container Orchestration : the Migration Path to Kubernetes." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97744.

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As IT platforms grow larger and more complex, so does the underlying infrastructure. Virtualization is an essential factor for more efficient resource allocation, improving both the management and environmental impact. It allows more robust solutions and facilitates the use of IaC (infrastructure ascode). Many systems developed today consist of containerized microservices. Considered the standard of container orchestration, Kubernetes is the natural next step for many companies. But how do we move on from previous solutions to a Kubernetes cluster? We found that there are not a lot of detailed
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Perera, Shelan. "Efficient and Cost-effective Workflow Based on Containers for Distributed Reproducible Experiments." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194209.

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Reproducing distributed experiments is a challenging task for many researchers. There are many factors which make this problem harder to solve. In order to reproduce distributed experiments, researchers need to perform complex deployments which involve many dependent software stacks with many configurations and manual orchestrations. Further, researchers need to allocate a larger amount of money for clusters of machines and then spend their valuable time to perform those experiments. Also, some of the researchers spend a lot of time to validate a distributed scenario in a real environment as m
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Palopoli, Amedeo. "Containerization in Cloud Computing: performance analysis of virtualization architectures." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14818/.

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La crescente adozione del cloud è fortemente influenzata dall’emergere di tecnologie che mirano a migliorare i processi di sviluppo e deployment di applicazioni di livello enterprise. L’obiettivo di questa tesi è analizzare una di queste soluzioni, chiamata “containerization” e di valutare nel dettaglio come questa tecnologia possa essere adottata in infrastrutture cloud in alternativa a soluzioni complementari come le macchine virtuali. Fino ad oggi, il modello tradizionale “virtual machine” è stata la soluzione predominante nel mercato. L’importante differenza architetturale che i container
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Cilloni, Marco. "Design and Implementation of an ETSI Network Function Virtualization-compliant Container Orchestrator." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13373/.

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La Network Function Virtualisation (NFV) è la principale forza dietro la migrazione delle infrastrutture dei provider di reti verso sistemi distribuiti cloud, fornendo un innovativo approccio al design di architetture di reti di telecomunicazioni che permette un completo disaccoppiamento dei servizi offerti dalla rete dai dispositivi fisici e gli apparati su cui essi risiedono attraverso la loro completa virtualizzazione. L’uso di VNF, blocchi logici in grado di rappresentare le funzionalità e i servizi forniti dall’infrastruttura come elementi virtuali, permette alle Network Functions di esse
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Jendi, Khaled. "Evaluation and Improvement of Application Deployment in Hybrid Edge Cloud Environment : Using OpenStack, Kubernetes, and Spinnaker." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275714.

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Traditional mechanisms of deployment of deferent applications can be costly in terms of time and resources, especially when the application requires a specific environment to run upon and has a different kind of dependencies so to set up such an application, it would need an expert to find out all required dependencies. In addition, it is difficult to deploy applications with efficient usage of resources available in the distributed environment of the cloud. Deploying different projects on the same resources is a challenge. To solve this problem, we evaluated different deployment mechanisms us
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Das, Ruben. "Framework to set up a generic environment for applications." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175674.

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Infrastructure is a common word used to express the basic equipment and structures that are needed e.g.  for a country or organisation to function properly. The same concept applies in the field of computer science, without infrastructure one would have problems operating software at scale. Provisioning and maintaining infrastructure through manual labour is a common occurrence in the "iron age" of IT. As the world is progressing towards the "cloud age" of IT, systems are decoupled from physical hardware enabling anyone who is software savvy to automate provisioning and maintenance of infrastr
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Book chapters on the topic "Docker container orchestration"

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Brogi, Antonio, Claus Pahl, and Jacopo Soldani. "On Enhancing the Orchestration of Multi-container Docker Applications." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63161-1_2.

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Higgins, Joshua, Violeta Holmes, and Colin Venters. "Orchestrating Docker Containers in the HPC Environment." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20119-1_36.

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Conference papers on the topic "Docker container orchestration"

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Moravcik, Marek, and Martin Kontsek. "Overview of Docker container orchestration tools." In 2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2020. http://dx.doi.org/10.1109/iceta51985.2020.9379236.

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Asnaghi, A., M. Ferroni, and M. D. Santambrogio. "DockerCap: A Software-Level Power Capping Orchestrator for Docker Containers." In 2016 19th IEEE Intl Conference on Computational Science and Engineering (CSE), IEEE 14th Intl Conference on Embedded and Ubiquitous Computing (EUC), and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES). IEEE, 2016. http://dx.doi.org/10.1109/cse-euc-dcabes.2016.166.

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