Dynamic on Demand Virtual Clusters in Grid

In Grid environments, many different resources are intended to work in a coordinated manner, each resource having its own features and complexity. As the number of resources grows, simplifying automation and management is among the most important issues to address. This paper's contribution lie...

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Autores principales: Bertogna, Mario Leandro, Grosclaude, Eduardo, Naiouf, Marcelo, De Giusti, Armando Eduardo, Luque Fadón, Emilio
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2008
Materias:
Informática
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/143077
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SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-143077
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Informática
spellingShingle Informática
Bertogna, Mario Leandro
Grosclaude, Eduardo
Naiouf, Marcelo
De Giusti, Armando Eduardo
Luque Fadón, Emilio
Dynamic on Demand Virtual Clusters in Grid
topic_facet Informática
description In Grid environments, many different resources are intended to work in a coordinated manner, each resource having its own features and complexity. As the number of resources grows, simplifying automation and management is among the most important issues to address. This paper's contribution lies on the extension and implementation of a grid metascheduler that dynamically discovers, creates and manages on-demand virtual clusters. The first module selects the clusters using graph heuristics. The algorithm then tries to find a solution by searching a set of clusters, mapped to the graph, that achieve the best performance for a given task. The second module, one per-grid node, monitors and manages physical and virtual machines. When a new task arrives, these modules modify virtual machine's configuration or use live migration to dynamically adapt resource distribution at the clusters, obtaining maximum utilization. Metascheduler components and local administrator modules work together to make decisions at run time to balance and optimize system throughput. This implementation results in performance improvement of 20% on the total computing time, with machines and clusters processing 100% of their working time. These results allow us to conclude that this solution is feasible to be implemented on Grid environments, where automation and self-management are key to attain effective resource usage.
format Objeto de conferencia
Objeto de conferencia
author Bertogna, Mario Leandro
Grosclaude, Eduardo
Naiouf, Marcelo
De Giusti, Armando Eduardo
Luque Fadón, Emilio
author_facet Bertogna, Mario Leandro
Grosclaude, Eduardo
Naiouf, Marcelo
De Giusti, Armando Eduardo
Luque Fadón, Emilio
author_sort Bertogna, Mario Leandro
title Dynamic on Demand Virtual Clusters in Grid
title_short Dynamic on Demand Virtual Clusters in Grid
title_full Dynamic on Demand Virtual Clusters in Grid
title_fullStr Dynamic on Demand Virtual Clusters in Grid
title_full_unstemmed Dynamic on Demand Virtual Clusters in Grid
title_sort dynamic on demand virtual clusters in grid
publishDate 2008
url http://sedici.unlp.edu.ar/handle/10915/143077
work_keys_str_mv AT bertognamarioleandro dynamicondemandvirtualclustersingrid
AT grosclaudeeduardo dynamicondemandvirtualclustersingrid
AT naioufmarcelo dynamicondemandvirtualclustersingrid
AT degiustiarmandoeduardo dynamicondemandvirtualclustersingrid
AT luquefadonemilio dynamicondemandvirtualclustersingrid
bdutipo_str Repositorios
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