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Simcan2Cloud: a discrete-event-based simulator for modelling and simulating cloud computing infrastructures

dc.contributor.authorCerro Cañizares, Pablo
dc.contributor.authorNúñez Covarrubias, Alberto
dc.contributor.authorBernal, Adrián
dc.contributor.authorCambronero, M. Emilia
dc.contributor.authorBarker, Adam
dc.date.accessioned2024-07-04T16:46:16Z
dc.date.available2024-07-04T16:46:16Z
dc.date.issued2023-09-18
dc.description.abstractCloud computing is an evolving paradigm whose adoption has been increasing over the last few years. This fact has led to the growth of the cloud computing market, together with fierce competition for the leading market share, with an increase in the number of cloud service providers. Novel techniques are continuously being proposed to increase the cloud service provider’s profitability. However, only those techniques that are proven not to hinder the service agreements are considered for production clouds. Analysing the expected behaviour and performance of the cloud infrastructure is challenging, as the repeatability and reproducibility of experiments on these systems are made difficult by the large number of users concurrently accessing the infrastructure. To this, must be added the complications of using different provisioning policies, managing several workloads, and applying different resource configurations. Therefore, in order to alleviate these issues, we present Simcan2Cloud, a discrete-event-based simulator for modelling and simulating cloud computing environments. Simcan2Cloud focuses on modelling and simulating the behaviour of the cloud provider with a high level of detail, where both the cloud infrastructure and the interactions of the users with the cloud are integrated in the simulated scenarios. For this purpose, Simcan2Cloud supports different resource allocation policies, service level agreements (SLAs), and an intuitive and complete API for including new management policies. Finally, a thorough experimental study to measure the suitability and applicability of Simcan2Cloud, using both real-world traces and synthetic workloads, is presented.
dc.description.departmentDepto. de Sistemas Informáticos y Computación
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.sponsorshipProyectos del MINECO/FEDER con referencias PID2021-122270OB-I00, TED2021-129381B-C21 y PID2019-108528RB-C22
dc.description.sponsorshipProyecto de la Comunidad de Madrid "FORTE-CM" con referencia S2018/TCS-4314
dc.description.sponsorshipProyecto "BLOQUES-CM", con referencia S2018/TCS-4339, cofinanciado por los Fondos EIE de la Unión Europea y la Comunidad de Madrid
dc.description.sponsorshipMadrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with the Complutense University as part of the Program to Stimulate Research for Young Doctors in the context of the V PRICIT (Regional Programme of Research and Technological Innovation) under grant PR65/19-22452
dc.description.sponsorshipUniversidad de Castilla-La Mancha (cofinanciado con fondos FSE, UE) al amparo de la convocatoria 2018/12504 publicada en el DOCM
dc.description.statuspub
dc.identifier.doi10.1186/s13677-023-00511-w
dc.identifier.officialurlhttps://journalofcloudcomputing.springeropen.com/articles/10.1186/s13677-023-00511-w
dc.identifier.urihttps://hdl.handle.net/20.500.14352/105657
dc.issue.number1
dc.journal.titleJournal of Cloud Computing
dc.language.isoeng
dc.page.initial133
dc.publisherSpringer
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordCloud computing
dc.subject.keywordSimulation
dc.subject.keywordSLAs
dc.subject.keywordPricing schemes
dc.subject.ucmSoftware
dc.subject.unesco3304.99 Otras
dc.titleSimcan2Cloud: a discrete-event-based simulator for modelling and simulating cloud computing infrastructures
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number12
dspace.entity.typePublication
relation.isAuthorOfPublicationfbd86834-ee36-422f-b303-b72800b228f1
relation.isAuthorOfPublication739c7331-24ad-41a6-8f5b-873485fa4501
relation.isAuthorOfPublication.latestForDiscoveryfbd86834-ee36-422f-b303-b72800b228f1

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