Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Semantic scheduling of virtualized infrastructures for scienti?c work ows
Año:2012
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Virtualized Infrastructures are a promising way for providing flexible and dynamic computing solutions for resourceconsuming tasks. Scientific Workflows are one of these kind of tasks, as they need a large amount of computational resources during certain periods of time. To provide the best infrastructure configuration for a workflow it is necessary to explore as many providers as possible taking into account different criteria like Quality of Service, pricing, response time, network latency, etc. Moreover, each one of these new resources must be tuned to provide the tools and dependencies required by each of the steps of the workflow. Working with different infrastructure providers, either public or private using their own concepts and terms, and with a set of heterogeneous applications requires a framework for integrating all the information about these elements. This work proposes semantic technologies for describing and integrating all the information about the different components of the overall system and a set of policies created by the user. Based on this information a scheduling process will be performed to generate an infrastructure configuration defining the set of virtual machines that must be run and the tools that must be deployed on them.
Internacional
Si
Nombre congreso
HPCS 2012
Tipo de participación
960
Lugar del congreso
Madrid, Spain
Revisores
Si
ISBN o ISSN
978-1-4673-2362-8
DOI
Fecha inicio congreso
02/07/2012
Fecha fin congreso
06/07/2012
Desde la página
687
Hasta la página
689
Título de las actas
IEEE Computer Society Press
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Idafen Santana Perez (UPM)
  • Autor: Maria de los Santos Perez Hernandez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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