RT Journal Article
T1 Evaluating cloud interactions with costs and SLAs
A1 Bernal, Adrián
A1 Cambronero, M. Emilia
A1 Núñez Covarrubias, Alberto
A1 Cerro Cañizares, Pablo
A1 Valero, Valentín
AB In this paper, we investigate how to improve the profits in cloud infrastructures by using price schemes and analyzing the user interactions with the cloud provider. For this purpose, we consider two different types of client behavior, namely regular and high-priority users. Regular users do not require a continuous service, and they can wait to be attended to. In contrast, high-priority users require a continuous service, e.g., a 24/7 service, and usually need an immediate answer to any request. A complete framework has been implemented, which includes a UML profile that allows us to define specific cloud scenarios and the automatic transformations to produce the code for the cloud simulations in the Simcan2Cloud simulator. The engine of Simcan2Cloud has also been modified by adding specific SLAs and price schemes. Finally, we present a thorough experimental study to analyze the performance results obtained from the simulations, thus making it possible to draw conclusions about how to improve the cloud profit for the cloud studied by adjusting the different parameters and resource configuration.
PB Springer
YR 2021
FD 2021-11-22
LK https://hdl.handle.net/20.500.14352/105655
UL https://hdl.handle.net/20.500.14352/105655
LA eng
NO Proyectos del Ministerio de Ciencia e Innovación (cofinanciado por los fondos FEDER de la Unión Europea) “FAME”, con referencia RTI2018-093608-B-C32, y “MASSIVE, con referencia RTI2018-095255-B-I00
NO Proyecto de la Junta de Comunidades de Castilla-La Mancha con referencia SBPLY/17/180501/000276/01 (cofinanciado por los fondos FEDER de la Unión Europea)
NO Madrid 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
NO Proyecto de la Comunidad de Madrid "FORTE-CM" con referencia S2018/TCS-4314
NO Universidad de Castilla-La Mancha (cofinanciado con fondos FSE, UE) al amparo de la convocatoria 2018/12504 publicada en el DOCM
DS Docta Complutense
RD 9 abr 2025