SciELO - Scientific Electronic Library Online

vol.19 número1Balancing Energy and Performance in Dense Linear System Solvers for Hybrid ARM+GPU platforms índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados



Links relacionados


CLEI Electronic Journal

versión On-line ISSN 0717-5000


FACCO RODRIGUES, Vinicius et al. Impact of Thresholds and Load Patterns when Executing HPC Applications with Cloud Elasticity. CLEIej [online]. 2016, vol.19, n.1, pp.1-1. ISSN 0717-5000.

Elasticity is one of the most known capabilities related to cloud computing, being largely deployed reactively using thresholds. In this way, maximum and minimum limits are used to drive resource allocation and deallocation actions, leading to the following problem statements: How can cloud users set the threshold values to enable elasticity in their cloud applications? And what is the impact of the application’s load pattern in the elasticity? This article tries to answer these questions for iterative high performance computing applications, showing the impact of both thresholds and load patterns on application performance and resource consumption. To accomplish this, we developed a reactive and PaaS-based elasticity model called AutoElastic and employed it over a private cloud to execute a numerical integration application. Here, we are presenting an analysis of best practices and possible optimizations regarding the elasticity and HPC pair. Considering the results, we observed that the maximum threshold influences the application time more than the minimum one. We concluded that threshold values close to 100% of CPU load are directly related to a weaker reactivity, postponing resource reconfiguration when its activation in advance could be pertinent for reducing the application runtime.

Palabras clave : Cloud elasticity; high-performance computing; resource management; self-organizing.

        · resumen en Portugués     · texto en Inglés     · Inglés ( pdf )


Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons