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An elasticity model for High Throughput Computing clusters

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Montero, Ruben S. and Moreno-Vozmediano, Rafael and 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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Official URL: https://doi.org/10.1016/j.jpdc.2010.05.005



Abstract

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.


Item Type:Article
Uncontrolled Keywords:Virtual machines, Cluster computing, Cloud computing, High Throughput Computing
Subjects:Sciences > Computer science > Internet
Sciences > Computer science > Computer networks
Sciences > Computer science > Hardware
ID Code:44152
Deposited On:31 Jul 2017 11:28
Last Modified:31 Jul 2017 11:28

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