129460 20250612142454.0 doi 10.1007/978-3-030-36027-6_26 sideral 123031 ART-2019-123031 eng Medel, V. (orcid)0000-0003-2481-4319 Modeling, Characterising and Scheduling Applications in Kubernetes 2019 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón info:eu-repo/grantAgreement/ES/DGA-FSE/T35-17D info:eu-repo/grantAgreement/ES/MINECO/PGC2018-099815-B-100 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.427 2019 Computer Science (miscellaneous) 2019 Q2 Theoretical Computer Science 2019 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Arronategui, U. Universidad de Zaragoza (orcid)0000-0003-4457-3938 Bañares, J.Á. Universidad de Zaragoza (orcid)0000-0002-4198-8241 Tolosana, R. Universidad de Zaragoza (orcid)0000-0003-3057-6273 Rana, O. (orcid)0000-0003-3597-2646 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 11819 LNCS (2019), 291-294 Lect. notes comput. sci. Lecture Notes in Computer Science 0302-9743 128475 http://zaguan.unizar.es/record/129460/files/texto_completo.pdf Postprint 1450180 http://zaguan.unizar.es/record/129460/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:129460 articulos driver 2025-06-12-14:23:36 ARTICLE