Autoscaling Pods on an On-Premise Kubernetes Infrastructure QoS-Aware

dc.contributor.authorMas, Lluis
dc.contributor.authorPiñol Pueyo, Pere
dc.contributor.authorMateo Fornés, Jordi
dc.contributor.authorVilaplana Mayoral, Jordi
dc.contributor.authorSolsona Tehàs, Francesc
dc.date.accessioned2022-09-06T11:13:31Z
dc.date.available2022-09-06T11:13:31Z
dc.date.issued2022
dc.description.abstractCloud systems and microservices are becoming powerful tools for businesses. The evidence of the advantages of offering infrastructure, hardware or software as a service (IaaS, PaaS, SaaS) is overwhelming. Microservices and decoupled applications are increasingly popular. These architectures, based on containers, have facilitated the efficient development of complex SaaS applications. A big challenge is to manage and design microservices with a massive range of different facilities, from processing and data storage to computing predictive and prescriptive analytics. Computing providers are mainly based on data centers formed of massive and heterogeneous virtualized systems, which are continuously growing and diversifying over time. Moreover, these systems require integrating into current systems while meeting the Quality of Service (QoS) constraints. The primary purpose of this work is to present an on-premise architecture based on Kubernetes and Docker containers aimed at improving QoS regarding resource usage and service level objectives (SLOs). The main contribution of this proposal is its dynamic autoscaling capabilities to adjust system resources to the current workload while improving QoS.ca_ES
dc.description.sponsorshipThis work was supported by the Intelligent Energy Europe (IEE) program and the Ministerio de Economía y Competitividad under contract PID2020-113614RB-C22 funded by MCIN/AEI/10.1H6 network TIN2016-81840-REDT.ca_ES
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2022.3158743
dc.identifier.idgrec032193
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10459.1/83766
dc.language.isoengca_ES
dc.publisherInstitute of Electrical and Electronics Engineersca_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113614RB-C22/ES/COMPUTACION AVANZADA PARA LOS RETOS DE LA SOCIEDAD DIGITAL/ca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1109/ACCESS.2022.3158743ca_ES
dc.relation.ispartofIEEE Access, 2022, vol. 10, p. 33083-33094ca_ES
dc.rightscc-by (c) Mas et al., 2022ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCloudca_ES
dc.subjectMicroservicesca_ES
dc.subjectKubernetesca_ES
dc.subjectSLOca_ES
dc.subjectQoSca_ES
dc.titleAutoscaling Pods on an On-Premise Kubernetes Infrastructure QoS-Awareca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
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