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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Format: | Article |
Language: | English |
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PeerJ Inc.
2021-05-01
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Series: | PeerJ Computer Science |
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Online Access: | https://peerj.com/articles/cs-513.pdf |
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author | M. Emilia Cambronero Adrián Bernal Valentín Valero Pablo C. Cañizares Alberto Núñez |
author_facet | M. Emilia Cambronero Adrián Bernal Valentín Valero Pablo C. Cañizares Alberto Núñez |
author_sort | M. Emilia Cambronero |
collection | DOAJ |
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. |
first_indexed | 2024-12-21T10:43:54Z |
format | Article |
id | doaj.art-d7c674b6b21a49a5b1fd60b343cf7d71 |
institution | Directory Open Access Journal |
issn | 2376-5992 |
language | English |
last_indexed | 2024-12-21T10:43:54Z |
publishDate | 2021-05-01 |
publisher | PeerJ Inc. |
record_format | Article |
series | PeerJ Computer Science |
spelling | doaj.art-d7c674b6b21a49a5b1fd60b343cf7d712022-12-21T19:06:51ZengPeerJ Inc.PeerJ Computer Science2376-59922021-05-017e51310.7717/peerj-cs.513Profiling SLAs for cloud system infrastructures and user interactionsM. Emilia Cambronero0Adrián Bernal1Valentín Valero2Pablo C. Cañizares3Alberto Núñez4Albacete Research Institute of Informatics, Department of Computer Science, University of Castilla La Mancha, Albacete, SpainAlbacete Research Institute of Informatics, Department of Computer Science, University of Castilla La Mancha, Albacete, SpainAlbacete Research Institute of Informatics, Department of Computer Science, University of Castilla La Mancha, Albacete, SpainSchool of Informatics, Autonomous University of Madrid, Madrid, SpainSchool of Informatics, Complutense University of Madrid, Madrid, SpainCloud 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.https://peerj.com/articles/cs-513.pdfCloudSLAsProfit improvementModel developmentDesign and simulation tools |
spellingShingle | M. Emilia Cambronero Adrián Bernal Valentín Valero Pablo C. Cañizares Alberto Núñez Profiling SLAs for cloud system infrastructures and user interactions PeerJ Computer Science Cloud SLAs Profit improvement Model development Design and simulation tools |
title | 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_short | Profiling SLAs for cloud system infrastructures and user interactions |
title_sort | profiling slas for cloud system infrastructures and user interactions |
topic | Cloud SLAs Profit improvement Model development Design and simulation tools |
url | https://peerj.com/articles/cs-513.pdf |
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