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2019 Ivannikov Ispras Open Conference (ISPRAS) 2019
DOI: 10.1109/ispras47671.2019.00016
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Kubernetes Container Orchestration as a Framework for Flexible and Effective Scientific Data Analysis

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Cited by 10 publications
(8 citation statements)
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References 12 publications
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“…Furthermore, the paper demonstrates the ways services are accessed by nodes in a cluster using docker swarm and Kubernetes, as well as the differences between the two. [3] The primary purpose of this study is to examine current Docker container orchestration choices. Presently, three orchestrators are extensively used: Docker Swarm, Kubernetes, and OpenShift.…”
Section: Literature Surveymentioning
confidence: 99%
“…Furthermore, the paper demonstrates the ways services are accessed by nodes in a cluster using docker swarm and Kubernetes, as well as the differences between the two. [3] The primary purpose of this study is to examine current Docker container orchestration choices. Presently, three orchestrators are extensively used: Docker Swarm, Kubernetes, and OpenShift.…”
Section: Literature Surveymentioning
confidence: 99%
“…You can manage hundreds or thousands of containers at production scale with this hugely well-liked framework. It is supported by an ardent open-source community and is generally portable [11].…”
Section: IImentioning
confidence: 99%
“…Thus, virtual machines (using OpenStack) were added in the Clients (legitimate traffic) network that use the services alongside with students and researchers. Based on an Ubuntu 20.04 server template, multiple workers, along with a Kubernetes orchestrator [ 30 ], were created, that became part of the vulnerable servers’ clients, in addition to students and researchers. Since the platforms used are Moodle instances (eLearning platform), to generate legitimate traffic, JMeter scripts were run to simulate a user’s activity: login, check courses and assignments and logout.…”
Section: Proposition Of the Roedunet2021 Datasetmentioning
confidence: 99%