Universidad Complutense de Madrid
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An elasticity model for High Throughput Computing clusters



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Montero, Ruben S. y Moreno-Vozmediano, Rafael y Llorente, Ignacio M. (2011) An elasticity model for High Throughput Computing clusters. Journal of Parallel and Distributed Computing, 71 (6). pp. 750-757. ISSN 1089-7801, ESSN: 1941-0131

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URL Oficial: https://doi.org/10.1016/j.jpdc.2010.05.005


Different methods have been proposed to dynamically provide scientific applications with execution environments that hide the complexity of distributed infrastructures. Recently virtualization has emerged as a promising technology to provide such environments. In this work we present a generic cluster architecture that extends the classical benefits of virtual machines to the cluster level, so providing cluster consolidation, cluster partitioning and support for heterogeneous environments. Additionally the capacity of the virtual clusters can be supplemented with resources from a commercial cloud provider. The performance of this architecture has been evaluated in the execution of High Throughput Computing workloads. Results show that, in spite of the overhead induced by the virtualization and cloud layers, these virtual clusters constitute a feasible and performing HTC platform. Additionally, we propose a performance model to characterize these variable capacity (elastic) cluster environments. The model can be used to dynamically dimension the cluster using cloud resources, according to a fixed budget, or to estimate the cost of completing a given workload in a target time.

Tipo de documento:Artículo
Palabras clave:Virtual machines, Cluster computing, Cloud computing, High Throughput Computing
Materias:Ciencias > Informática > Internet
Ciencias > Informática > Redes de ordenadores
Ciencias > Informática > Hardware
Código ID:44152
Depositado:31 Jul 2017 11:28
Última Modificación:31 Jul 2017 11:28

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