DocumentCode :
2193421
Title :
SLA-Driven Semantically-Enhanced Dynamic Resource Allocator for Virtualized Service Providers
Author :
Ejarque, Jorge ; de Palol, M. ; Goiri, Íñigo ; Julia, F. ; Guitart, Jordi ; Badia, Rosa M. ; Torres, Jordi
Author_Institution :
Barcelona Supercomput. Center, Univ. Politec. de Catalunya, Barcelona
fYear :
2008
fDate :
7-12 Dec. 2008
Firstpage :
8
Lastpage :
15
Abstract :
In order to be profitable, service providers must be able to undertake complex management tasks such as provisioning, deployment, execution and adaptation in an autonomic way. This paper introduces a framework, the semantically-enhanced resource allocator (SERA), aimed to facilitate service provider management, reducing costs and at the same time fulfilling the QoS agreed with the customers. The SERA assigns resources depending on the information given by service providers according to its business goals and on the resource requirements of the tasks. Tasks and resources are semantically described and these descriptions are used to infer the resource assignments. Virtualization is used to provide a full-customized and isolated virtual environment for each task. In addition, the system supports fine-grain dynamic resource distribution among these virtual environments based on SLAs. The required adaptation is implemented using agents, guarantying to each task enough resources to meet the agreed performance goals.
Keywords :
resource allocation; virtual reality; QoS; SERA; SLA; fine-grain dynamic resource distribution; semantically-enhanced dynamic resource allocator; service provider management; virtualization; virtualized service providers; Artificial intelligence; Computer architecture; Conference management; Costs; Intelligent systems; Prototypes; Quality of service; Resource management; Resource virtualization; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-3380-3
Electronic_ISBN :
978-0-7695-3535-7
Type :
conf
DOI :
10.1109/eScience.2008.15
Filename :
4736734
Link To Document :
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