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Virtual infrastructure planning: The GEYSERS approach.

Authors: Tzanakaki, A.; Anastasopoulos, M.P.; Georgakilas, K.; Garcia-Espin, J.A.; Ferrer Riera, J.; Figuerola, S.; Ghijsen, M.; +9 Authors

Virtual infrastructure planning: The GEYSERS approach.

Abstract

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 aService 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.

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Netherlands
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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