000129460 001__ 129460 000129460 005__ 20250612142454.0 000129460 0247_ $$2doi$$a10.1007/978-3-030-36027-6_26 000129460 0248_ $$2sideral$$a123031 000129460 037__ $$aART-2019-123031 000129460 041__ $$aeng 000129460 100__ $$0(orcid)0000-0003-2481-4319$$aMedel, V. 000129460 245__ $$aModeling, Characterising and Scheduling Applications in Kubernetes 000129460 260__ $$c2019 000129460 5060_ $$aAccess copy available to the general public$$fUnrestricted 000129460 5203_ $$aThe simplification of resource management for container is one of the most important services of Kubernetes. However, the simplification of distributed provisioning and scheduling decisions can impact significantly in cost outcomes. From an economic point of view, the most important factor to consider in container management is performance interference among containers executing in the same node. We propose a model driven approach to improve resource usage in overall deployment of applications. Petri Net models, a Confirmatory Factor Analysis (CFA)-based model and a regression model allows to predict performance degradation of the execution of containers in applications. Time series indices can provide an accurate enough characterisation of the performance variations in the execution lifetime of applications. These indices can be used in new scheduling strategies to reduce the number of resources used in shared cloud environments as Kubernetes. 000129460 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón$$9info:eu-repo/grantAgreement/ES/DGA-FSE/T35-17D$$9info:eu-repo/grantAgreement/ES/MINECO/PGC2018-099815-B-100 000129460 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000129460 592__ $$a0.427$$b2019 000129460 593__ $$aComputer Science (miscellaneous)$$c2019$$dQ2 000129460 593__ $$aTheoretical Computer Science$$c2019$$dQ3 000129460 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000129460 700__ $$0(orcid)0000-0003-4457-3938$$aArronategui, U.$$uUniversidad de Zaragoza 000129460 700__ $$0(orcid)0000-0002-4198-8241$$aBañares, J.Á.$$uUniversidad de Zaragoza 000129460 700__ $$0(orcid)0000-0003-3057-6273$$aTolosana, R.$$uUniversidad de Zaragoza 000129460 700__ $$0(orcid)0000-0003-3597-2646$$aRana, O. 000129460 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput. 000129460 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000129460 773__ $$g11819 LNCS (2019), 291-294$$pLect. notes comput. sci.$$tLecture Notes in Computer Science$$x0302-9743 000129460 8564_ $$s128475$$uhttps://zaguan.unizar.es/record/129460/files/texto_completo.pdf$$yPostprint 000129460 8564_ $$s1450180$$uhttps://zaguan.unizar.es/record/129460/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000129460 909CO $$ooai:zaguan.unizar.es:129460$$particulos$$pdriver 000129460 951__ $$a2025-06-12-14:23:36 000129460 980__ $$aARTICLE