000078902 001__ 78902 000078902 005__ 20240112142251.0 000078902 0247_ $$2doi$$a10.1016/j.compeleceng.2018.03.041 000078902 0248_ $$2sideral$$a105881 000078902 037__ $$aART-2018-105881 000078902 041__ $$aeng 000078902 100__ $$0(orcid)0000-0003-2481-4319$$aMedel, V.$$uUniversidad de Zaragoza 000078902 245__ $$aCharacterising resource management performance in Kubernetes 000078902 260__ $$c2018 000078902 5060_ $$aAccess copy available to the general public$$fUnrestricted 000078902 5203_ $$aA key challenge for supporting elastic behaviour in cloud systems is to achieve a good performance in automated (de-)provisioning and scheduling of computing resources. One of the key aspects that can be significant is the overheads associated with deploying, terminating and maintaining resources. Therefore, due to their lower start up and termination overhead, containers are rapidly replacing Virtual Machines (VMs) in many cloud deployments, as the computation instance of choice. In this paper, we analyse the performance of Kubernetes achieved through a Petri net-based performance model. Kubernetes is a container management system for a distributed cluster environment. Our model can be characterised using data from a Kubernetes deployment, and can be exploited for supporting capacity planning and designing Kubernetes-based elastic applications. 000078902 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T93$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-40809-R 000078902 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000078902 590__ $$a2.189$$b2018 000078902 591__ $$aCOMPUTER SCIENCE, HARDWARE & ARCHITECTURE$$b20 / 52 = 0.385$$c2018$$dQ2$$eT2 000078902 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b131 / 265 = 0.494$$c2018$$dQ2$$eT2 000078902 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b54 / 106 = 0.509$$c2018$$dQ3$$eT2 000078902 592__ $$a0.443$$b2018 000078902 593__ $$aComputer Science (miscellaneous)$$c2018$$dQ2 000078902 593__ $$aElectrical and Electronic Engineering$$c2018$$dQ2 000078902 593__ $$aControl and Systems Engineering$$c2018$$dQ2 000078902 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000078902 700__ $$0(orcid)0000-0003-3057-6273$$aTolosana-Calasanz, R.$$uUniversidad de Zaragoza 000078902 700__ $$0(orcid)0000-0002-4198-8241$$aBañares, J.Á.$$uUniversidad de Zaragoza 000078902 700__ $$0(orcid)0000-0003-4457-3938$$aArronategui, U.$$uUniversidad de Zaragoza 000078902 700__ $$aRana, O.F. 000078902 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput. 000078902 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000078902 773__ $$g68 (2018), 286-297$$pComput. electr. eng.$$tCOMPUTERS & ELECTRICAL ENGINEERING$$x0045-7906 000078902 8564_ $$s1748111$$uhttps://zaguan.unizar.es/record/78902/files/texto_completo.pdf$$yPostprint 000078902 8564_ $$s1092755$$uhttps://zaguan.unizar.es/record/78902/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000078902 909CO $$ooai:zaguan.unizar.es:78902$$particulos$$pdriver 000078902 951__ $$a2024-01-12-14:20:49 000078902 980__ $$aARTICLE