SLA-Aware Virtual Resource Management for Cloud Infrastructures
| Autor: | Hien Nguyen Van, Frédéric Dang Tran, Jean-Marc Menaud |
|---|---|
| Přispěvatelé: | Orange Labs R&D [Rennes], France Télécom, Aspect and composition languages (ASCOLA), Laboratoire d'Informatique de Nantes Atlantique (LINA), Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Département informatique - EMN, Mines Nantes (Mines Nantes)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2009 |
| Předmět: |
Computer science
business.industry Quality of service Distributed computing Temporal isolation among virtual machines Provisioning Cloud computing computer.software_genre Virtualization Shared resource Virtual machine Server Resource allocation Resource management [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS] business computer |
| Zdroj: | CIT (1) 9th IEEE International Conference on Computer and Information Technology (CIT'09) 9th IEEE International Conference on Computer and Information Technology (CIT'09), Oct 2009, Xiamen, China. pp.1-8 |
| DOI: | 10.1109/cit.2009.109 |
| Popis: | International audience; Cloud platforms host several independent applications on a shared resource pool with the ability to allocate computing power to applications on a per-demand basis. The use of server virtualization techniques for such platforms provide great flexibility with the ability to consolidate several virtual machines on the same physical server, to resize a virtual machine capacity and to migrate virtual machine across physical servers. A key challenge for cloud providers is to automate the management of virtual servers while taking into account both high-level QoS requirements of hosted applications and resource management costs. This paper proposes an autonomic resource manager to control the virtualized environment which decouples the provisioning of resources from the dynamic placement of virtual machines. This manager aims to optimize a global utility function which integrates both the degree of SLA fulfillment and the operating costs. We resort to a Constraint Programming approach to formulate and solve the optimization problem. Results obtained through simulations validate our approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|