Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool
- Autores
- Monge, David A.; García Garino, Carlos
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- In several scientific and business environments, the magnitude of problems require the execution of complex applications, like work-flows. Condor includes DAGMan extension in order to manage workflows. Such kind of applications are very popular because jobs can be reused and distributed. Scheduling is a central issue in the assignation of resources to workflows. It can be seen as the process of assigning the resources to the workflow's jobs in a convenient way. This work presents a performance-driven approach to make these assignments (also known as mappings). The mappings generated determine in which resources the jobs must be executed. The execution stage is delegated to the DAGMan Workflow System. This approach is compared with the standalone execution of the workflow over DAGMan. Experimental results show that the performance-driven approach improves the execution time of workflows in comparison with the standalone DAGMan approach.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
Workflow
Scheduling
DAGMan
Performance
Optimization - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/152727
Ver los metadatos del registro completo
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Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling ToolMonge, David A.García Garino, CarlosCiencias InformáticasWorkflowSchedulingDAGManPerformanceOptimizationIn several scientific and business environments, the magnitude of problems require the execution of complex applications, like work-flows. Condor includes DAGMan extension in order to manage workflows. Such kind of applications are very popular because jobs can be reused and distributed. Scheduling is a central issue in the assignation of resources to workflows. It can be seen as the process of assigning the resources to the workflow's jobs in a convenient way. This work presents a performance-driven approach to make these assignments (also known as mappings). The mappings generated determine in which resources the jobs must be executed. The execution stage is delegated to the DAGMan Workflow System. This approach is compared with the standalone execution of the workflow over DAGMan. Experimental results show that the performance-driven approach improves the execution time of workflows in comparison with the standalone DAGMan approach.Sociedad Argentina de Informática e Investigación Operativa2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf3271-3285http://sedici.unlp.edu.ar/handle/10915/152727enginfo:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-hpc-09.pdfinfo:eu-repo/semantics/altIdentifier/issn/1851-9326info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-17T10:22:03Zoai:sedici.unlp.edu.ar:10915/152727Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-17 10:22:03.867SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool |
| title |
Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool |
| spellingShingle |
Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool Monge, David A. Ciencias Informáticas Workflow Scheduling DAGMan Performance Optimization |
| title_short |
Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool |
| title_full |
Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool |
| title_fullStr |
Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool |
| title_full_unstemmed |
Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool |
| title_sort |
Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool |
| dc.creator.none.fl_str_mv |
Monge, David A. García Garino, Carlos |
| author |
Monge, David A. |
| author_facet |
Monge, David A. García Garino, Carlos |
| author_role |
author |
| author2 |
García Garino, Carlos |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Workflow Scheduling DAGMan Performance Optimization |
| topic |
Ciencias Informáticas Workflow Scheduling DAGMan Performance Optimization |
| dc.description.none.fl_txt_mv |
In several scientific and business environments, the magnitude of problems require the execution of complex applications, like work-flows. Condor includes DAGMan extension in order to manage workflows. Such kind of applications are very popular because jobs can be reused and distributed. Scheduling is a central issue in the assignation of resources to workflows. It can be seen as the process of assigning the resources to the workflow's jobs in a convenient way. This work presents a performance-driven approach to make these assignments (also known as mappings). The mappings generated determine in which resources the jobs must be executed. The execution stage is delegated to the DAGMan Workflow System. This approach is compared with the standalone execution of the workflow over DAGMan. Experimental results show that the performance-driven approach improves the execution time of workflows in comparison with the standalone DAGMan approach. Sociedad Argentina de Informática e Investigación Operativa |
| description |
In several scientific and business environments, the magnitude of problems require the execution of complex applications, like work-flows. Condor includes DAGMan extension in order to manage workflows. Such kind of applications are very popular because jobs can be reused and distributed. Scheduling is a central issue in the assignation of resources to workflows. It can be seen as the process of assigning the resources to the workflow's jobs in a convenient way. This work presents a performance-driven approach to make these assignments (also known as mappings). The mappings generated determine in which resources the jobs must be executed. The execution stage is delegated to the DAGMan Workflow System. This approach is compared with the standalone execution of the workflow over DAGMan. Experimental results show that the performance-driven approach improves the execution time of workflows in comparison with the standalone DAGMan approach. |
| publishDate |
2010 |
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2010 |
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