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
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