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
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