Profiling SLAs for cloud system infrastructures and user interactions

Cloud computing has emerged as a cutting-edge technology which is widely used by both private and public institutions, since it eliminates the capital expense of buying, maintaining, and setting up both hardware and software. Clients pay for the services they use, under the so-called Service Level A...

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Autores: Bernal, Adrián, Valero, Valentín, Cambronero, M. Emilia, Núñez Covarrubias, Alberto, Cerro Cañizares, Pablo
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/105279
Acceso en línea:https://hdl.handle.net/20.500.14352/105279
Access Level:acceso abierto
Palabra clave:Cloud
SLAs
Profit improvement
Model development
Design and simulation tools
Software
3304.99 Otras
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spelling Profiling SLAs for cloud system infrastructures and user interactionsBernal, AdriánValero, ValentínCambronero, M. EmiliaNúñez Covarrubias, AlbertoCerro Cañizares, PabloCloudSLAsProfit improvementModel developmentDesign and simulation toolsSoftware3304.99 OtrasCloud computing has emerged as a cutting-edge technology which is widely used by both private and public institutions, since it eliminates the capital expense of buying, maintaining, and setting up both hardware and software. Clients pay for the services they use, under the so-called Service Level Agreements (SLAs), which are the contracts that establish the terms and costs of the services. In this paper, we propose the CloudCost UML profile, which allows the modeling of cloud architectures and the users’ behavior when they interact with the cloud to request resources. We then investigate how to increase the profits of cloud infrastructures by using price schemes. For this purpose, we distinguish between two types of users in the SLAs: regular and high-priority users. Regular users do not require a continuous service, so they can wait to be attended to. In contrast, high-priority users require a constant and immediate service, so they pay a greater price for their services. In addition, a computer-aided design tool, called MSCC (Modeling SLAs Cost Cloud), has been implemented to support the CloudCost profile, which enables the creation of specific cloud scenarios, as well as their edition and validation. Finally, we present a complete case study to illustrate the applicability of the CloudCost profile, thus making it possible to draw conclusions about how to increase the profits of the cloud infrastructures studied by adjusting the different cloud parameters and the resource configuration.PeerJUniversidad Complutense de Madrid20212021-05-1220212021-05-12journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/105279reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1052792026-06-02T12:44:21Z
dc.title.none.fl_str_mv Profiling SLAs for cloud system infrastructures and user interactions
title Profiling SLAs for cloud system infrastructures and user interactions
spellingShingle Profiling SLAs for cloud system infrastructures and user interactions
Bernal, Adrián
Cloud
SLAs
Profit improvement
Model development
Design and simulation tools
Software
3304.99 Otras
title_short Profiling SLAs for cloud system infrastructures and user interactions
title_full Profiling SLAs for cloud system infrastructures and user interactions
title_fullStr Profiling SLAs for cloud system infrastructures and user interactions
title_full_unstemmed Profiling SLAs for cloud system infrastructures and user interactions
title_sort Profiling SLAs for cloud system infrastructures and user interactions
dc.creator.none.fl_str_mv Bernal, Adrián
Valero, Valentín
Cambronero, M. Emilia
Núñez Covarrubias, Alberto
Cerro Cañizares, Pablo
author Bernal, Adrián
author_facet Bernal, Adrián
Valero, Valentín
Cambronero, M. Emilia
Núñez Covarrubias, Alberto
Cerro Cañizares, Pablo
author_role author
author2 Valero, Valentín
Cambronero, M. Emilia
Núñez Covarrubias, Alberto
Cerro Cañizares, Pablo
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Cloud
SLAs
Profit improvement
Model development
Design and simulation tools
Software
3304.99 Otras
topic Cloud
SLAs
Profit improvement
Model development
Design and simulation tools
Software
3304.99 Otras
description Cloud computing has emerged as a cutting-edge technology which is widely used by both private and public institutions, since it eliminates the capital expense of buying, maintaining, and setting up both hardware and software. Clients pay for the services they use, under the so-called Service Level Agreements (SLAs), which are the contracts that establish the terms and costs of the services. In this paper, we propose the CloudCost UML profile, which allows the modeling of cloud architectures and the users’ behavior when they interact with the cloud to request resources. We then investigate how to increase the profits of cloud infrastructures by using price schemes. For this purpose, we distinguish between two types of users in the SLAs: regular and high-priority users. Regular users do not require a continuous service, so they can wait to be attended to. In contrast, high-priority users require a constant and immediate service, so they pay a greater price for their services. In addition, a computer-aided design tool, called MSCC (Modeling SLAs Cost Cloud), has been implemented to support the CloudCost profile, which enables the creation of specific cloud scenarios, as well as their edition and validation. Finally, we present a complete case study to illustrate the applicability of the CloudCost profile, thus making it possible to draw conclusions about how to increase the profits of the cloud infrastructures studied by adjusting the different cloud parameters and the resource configuration.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-05-12
2021
2021-05-12
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/105279
url https://hdl.handle.net/20.500.14352/105279
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv PeerJ
publisher.none.fl_str_mv PeerJ
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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