Modeling, characterising and scheduling applications in Kubernetes

Medel, Víctor, Arronategui, Unai, Bañares, José Ángel, Tolosana, Rafael and Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 2019. Modeling, characterising and scheduling applications in Kubernetes. Presented at: GECON: International Conference on the Economics of Grids, Clouds, Systems, and Services, Leeds, UK, 17-19 Sep 2019. Published in: Djemame, Karim, Altmann, Jörn, Bañares, José Ángel, Ben-Yehuda, Orna Agmon and Naldi, Maurizio eds. Economics of Grids, Clouds, Systems, and Services. Lecture Notes in Artificial Intelligence. , vol.11819 Cham: Springer Verlag, pp. 291-294. 10.1007/978-3-030-36027-6_26

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Abstract

The simplification of resource management for container is one of the most important services of Kubernetes. However, the simplification of distributed provisioning and scheduling decisions can impact significantly in cost outcomes. From an economic point of view, the most important factor to consider in container management is performance interference among containers executing in the same node. We propose a model driven approach to improve resource usage in overall deployment of applications. Petri Net models, a Confirmatory Factor Analysis (CFA)-based model and a regression model allows to predict performance degradation of the execution of containers in applications. Time series indices can provide an accurate enough characterisation of the performance variations in the execution lifetime of applications. These indices can be used in new scheduling strategies to reduce the number of resources used in shared cloud environments as Kubernetes.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Springer Verlag
ISBN:	978-3-030-36026-9
ISSN:	0302-9743
Last Modified:	26 Oct 2022 08:21
URI:	https://orca.cardiff.ac.uk/id/eprint/127233

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