Artículos

 

Performance Evaluation of Infrastructure as Service Clouds with SLA Constraints

 

Evaluación del desempeño de servicios de infraestructura en nubes con restricciones de acuerdos de nivel de servicio (SLA)

 

Anuar Lezama Barquet¹, Andrei Tchernykh¹, and Ramin Yahyapour²

 

¹ Computer Science Department, CICESE Research Center, Ensenada, BC, Mexico. alezama@cicese.edu.mx, chernykh@cicese.edu.mx

² GWDG - University of Göttingen, 37077 Göttingen, Germany. ramin.yahyapour@gwdg.de

 

Article received on 22/02/2013;
accepted 01/08/2013.

 

Abstract

In this paper, we present an experimental study of job scheduling algorithms in infrastructure as a service type in clouds. We analyze different system service levels which are distinguished by the amount of computing power a customer is guaranteed to receive within a time frame and a price for a processing time unit. We analyze different scenarios for this model. These scenarios combine a single service level with single and parallel machines. We apply our algorithms in the context of executing real workload traces available to HPC community. In order to provide performance comparison, we make a joint analysis of several metrics. A case study is given.

Keywords: Cloud computing, infrastructure as a service, quality of service, scheduling.

 

Resumen

En el presente artículo, mostramos un estudio experimental sobre algoritmos de calendarización en servicios de infraestructura en nubes. Analizamos diferentes niveles de servicios que se distinguen por la cantidad de poder computacional que al usuario se le garantiza recibir dentro de un periodo de tiempo y el precio por unidad de procesamiento. Analizamos diferentes escenarios para este modelo. Estos escenarios combinan un único nivel de servicio en una sola máquina y en máquinas paralelas. Utilizamos nuestros algoritmos para la ejecución de muestras de cargas de trabajo reales disponibles para la comunidad de HPC. Con el fin de proveer una comparación en el desempeño, realizamos un análisis conjunto de varias métricas. Presentamos un caso de estudio.

Palabras clave: Computación en nube, servicio de infraestructura en nube, calidad de servicio, calendarización.

 

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