J. Ferrer Riera
C.T.A.M. de Laat
- Virtual infrastructure planning: the GEYSERS approach
- Future Network & Mobile Summit 2012
- Book/source title
- 2012 Future Network & Mobile Summit: 4-6 July 2012, Berlin, Germany. Proceedings
- Pages (from-to)
- Piscataway, NJ: IEEE
- Document type
- Conference contribution
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
The new and emerging IT services require very high network capacities and specific IT resources that cannot be intrinsically delivered by the current Best Effort Internet. In response to this the European project GEYSERS (Generalised Architecture for Dynamic Infrastructure Services) is proposing a novel architecture that employs optical networking, capable of provisioning "Optical Network and IT resources" for end-to-end service delivery. GEYSERS adopts the Infrastructure as a
Service framework and the Service-Oriented Networking paradigm and proposes an architecture that enables infrastructure operators to virtualize their infrastructures (optical network and IT resources) and offer them as a service based on the user/application requirements. This paper provides an overview of the GEYSERS approach regarding virtualization of infrastructures comprising optical network and IT resources. Special emphasis is given in the description of the Logical Composition Layer of the architecture that is responsible for both the creation and maintenance of virtual resources and the virtual infrastructures. An important function of the Logical Composition Layer is the virtual infrastructure planning process discussed in detail. An optimization scheme suitable to adaptively plan and re-plan virtual infrastructures employing evolutionary game theory is presented and compared to conventional centralized approaches. Our evolutionary game theory modelling results clearly indicate, that given sufficient time to learn the status of the underlying physical topology the virtual infrastructures planned have similar performance to those generated through traditional global optimization approaches such as integer linear programming.
- IEEE Catalog Number CFPI234J-ART
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