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dc.contributor.authorRamírez López, Manuel-
dc.contributor.authorSpillner, Josef-
dc.description.abstractOne of the most useful features of a microservices architecture is its versatility to scale horizontally. However, not all services scale in or out uniformly. The performance of an application composed of microservices depends largely on a suitable combination of replica count and resource capacity. In practice, this implies limitations to the efficiency of autoscalers which often overscale based on an isolated consideration of single service metrics. Consequently, application providers pay more than necessary despite zero gain in overall performance. Solving this issue requires an application-specific determination of scaling limits due to the general infeasibility of an application-agnostic solution. In this paper, we study microservices scalability, the auto-scaling of containers as microservice implementations and the relation between the number of replicas and the resulting application task performance. We contribute a replica count determination solution with a mathematical approach. Furthermore, we offer a calibration software tool which places scalability boundaries into declarative composition descriptions of applications ready to be consumed by cloud platforms.de_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleTowards quantifiable boundaries for elastic horizontal scaling of microservicesde_CH
dc.typeKonferenz: Paperde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Informationstechnologie (InIT)de_CH
zhaw.publisher.placeAustin, Texasde_CH
dc.identifier.doi10.1145/3147234. 3148111de_CH
zhaw.conference.details6th International Workshop on Clouds and (eScience) Applications Management (CloudAM 2017)de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedings10th International Conference on Utility and Cloud Computing Companion (UCC 2017)de_CH
zhaw.webfeedService Engineeringde_CH
Appears in Collections:Publikationen School of Engineering

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