51. Adaptive virtual network provisioning
- Author
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Djamal Zeghlache, Laurent Mathy, Panagiotis Papadimitriou, Ines Houidi, Wajdi Louati, Département Réseaux et Services Multimédia Mobiles (RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Computing Department [Lancaster], and Lancaster University
- Subjects
Computer science ,business.industry ,Distributed computing ,05 social sciences ,Network virtualization ,050801 communication & media studies ,020206 networking & telecommunications ,Provisioning ,Thin provisioning ,02 engineering and technology ,Network topology ,Extensibility ,[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,Virtual network provisioning ,0508 media and communications ,Elasticity (cloud computing) ,Fault-tolerant embedding ,On demand ,0202 electrical engineering, electronic engineering, information engineering ,business ,Virtual network ,Computer network - Abstract
International audience; In the future, virtual networks will be allocated, maintained and managed much like clouds offering flexibility, extensibility and elasticity with resources acquired for a limited time and even on a lease basis. Adaptive provisioning is required to maintain virtual network topologies, comply with established contracts, expand initial allocations on demand, release resources no longer useful, optimise resource utilisation and respond to anomalies, faults and evolving demands. In this paper, we elaborate on adaptive virtual resource provisioning to maintain virtual networks, allocated initially on demand, in response to a virtual network creation request. We propose a distributed fault-tolerant embedding algorithm, which relies on substrate node agents to cope with failures and severe performance degradation. This algorithm coupled with dynamic resource binding is integrated and evaluated within a medium-scale experimental infrastructure
- Published
- 2010
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