• DocumentCode
    2299149
  • Title

    Using Semantics for Resource Allocation in Computing Service Providers

  • Author

    Ejarque, Jorge ; de Palol, M. ; Goiri, Iñigo ; Julia, Ferran ; Guitart, Jordi ; Torres, Jordi ; Badia, Rosa M.

  • Author_Institution
    Barcelona Supercomput. Center, Univ. Politec. de Catalunya, Barcelona
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Firstpage
    583
  • Lastpage
    587
  • Abstract
    Service providers (SP) business goals require an efficient management of their computational resources in order to perform provisioning, deployment, execution and adaptation which traditionally require human intervention. The semantically-enhanced resource allocator (SERA) is a framework designed to obtain an efficient autonomous service provider management while fulfilling customers´ requests. While the efficient dynamic resource management is obtained by means of virtualization and agents, in this paper, we focus on how semantics can help on the task scheduling and resource allocation. In SERA, tasks and resources are semantically described following a resource ontology and resource assignments are inferred by means of a set of rules that define the scheduling policies taking into account the SP business goals.
  • Keywords
    ontologies (artificial intelligence); processor scheduling; resource allocation; autonomous service provider management; computational resource management; dynamic resource management; resource allocation semantics; resource assignments; resource ontology; scheduling policies; semantically-enhanced resource allocator; service provider computing; task scheduling; Application virtualization; Conference management; Dynamic scheduling; Human resource management; Ontologies; Paper technology; Resource management; Resource virtualization; Semantic Web; Virtual environment; BREIN; Resource Allocation; Semantic Grid; Semantic Web; Service Providers; Task Scheduling; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing, 2008. SCC '08. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-0-7695-3283-7
  • Type

    conf

  • DOI
    10.1109/SCC.2008.152
  • Filename
    4578587