Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids
Nowadays, many High Performance Computing (HPC) centers with thousands of cores are available. The interconnection and synchronization between them is one of objectives of Grid Computing, as all these centers tend to form a global shared computing facility. In such scenario, dynamics of resource inf...
Guardado en:
| Autores principales: | , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2011
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/126144 https://40jaiio.sadio.org.ar/sites/default/files/T2011/HPC/1227.pdf |
| Aporte de: |
| id |
I19-R120-10915-126144 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas Analysis of performance Resource Monitoring Grids |
| spellingShingle |
Ciencias Informáticas Analysis of performance Resource Monitoring Grids González Márquez, D. Fernández Slezak, Diego Turjanski, P. Mocskos, E. Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids |
| topic_facet |
Ciencias Informáticas Analysis of performance Resource Monitoring Grids |
| description |
Nowadays, many High Performance Computing (HPC) centers with thousands of cores are available. The interconnection and synchronization between them is one of objectives of Grid Computing, as all these centers tend to form a global shared computing facility. In such scenario, dynamics of resource information is increasingly complex, and may become almost impossible to be captured using a static hierarchy. One of the key features needed in Grid Computing is to maintain up-to-date information about resources and services. Two important parameters that must be selected are the information refresh and expiration times. In this work, R is presented for studying the relation between these important parameters in three policies: Hierarchical, Super-peer and Random. The results reveal an interesting relation between expiration and refresh times in all studied policies. The study of this new parameter is essential to provide a deeper knowledge in new information distribution policies and in the configuration or deployment of existing ones. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
González Márquez, D. Fernández Slezak, Diego Turjanski, P. Mocskos, E. |
| author_facet |
González Márquez, D. Fernández Slezak, Diego Turjanski, P. Mocskos, E. |
| author_sort |
González Márquez, D. |
| title |
Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids |
| title_short |
Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids |
| title_full |
Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids |
| title_fullStr |
Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids |
| title_full_unstemmed |
Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids |
| title_sort |
gaining insight in the analysis of performance for resource monitoring and discovery in grids |
| publishDate |
2011 |
| url |
http://sedici.unlp.edu.ar/handle/10915/126144 https://40jaiio.sadio.org.ar/sites/default/files/T2011/HPC/1227.pdf |
| work_keys_str_mv |
AT gonzalezmarquezd gaininginsightintheanalysisofperformanceforresourcemonitoringanddiscoveryingrids AT fernandezslezakdiego gaininginsightintheanalysisofperformanceforresourcemonitoringanddiscoveryingrids AT turjanskip gaininginsightintheanalysisofperformanceforresourcemonitoringanddiscoveryingrids AT mocskose gaininginsightintheanalysisofperformanceforresourcemonitoringanddiscoveryingrids |
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Repositorios |
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