The GEYSERS Concept and Major Outcomes

  • Anna Tzanakaki
  • Sergi Figuerola
  • Joan A. García-Espín
  • Dimitra Simeonidou
  • Nicola Ciulli
  • Philip Robinson
  • Juan Rodríguez
  • Giada Landi
  • Bartosz Belter
  • Pascale Vicat-Blanc
  • Matteo Biancani
  • Cees de Laat
  • Eduard Escalona
  • Artur Binczewski
Open Access
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7858)

Introduction

Large-scale computer networks supporting both communication and computation are extensively employed to deal with a variety of existing and emerging demanding applications. These high-performance applications, requiring very high network capacities and specific IT resources, cannot be delivered by the current Best Effort Internet. Optical networking is offering a very high capacity transport with increased dynamicity and flexibility through recent technology advancements including dynamic control planes etc. The European project GEYSERS (Generalised Architecture for Dynamic Infrastructure Services) proposed a novel architecture capable of provisioning “Optical Network and IT resources” for end-to-end service delivery. The proposed approach adopts the Infrastructure as a Service (IaaS) paradigm. The GEYSERS architecture presents an innovative solution to enable infrastructure operators to virtualize their optical network + IT physical resources and offer them as a service based on the user/application requirements. The adoption of Virtual Infrastructures (VIs) facilitates sharing of physical resources among various virtual operators, introducing new business models that suit well the nature and characteristics of the Future Internet and enables new exploitation opportunities for the underlying Physical Infrastructures (PIs).

Keywords

Optical Network Virtual Resource Internet Engineer Task Force Path Computation Element Recent Technology Advancement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Authors 2013

Authors and Affiliations

  • Anna Tzanakaki
    • 1
  • Sergi Figuerola
    • 2
  • Joan A. García-Espín
    • 2
  • Dimitra Simeonidou
    • 3
  • Nicola Ciulli
    • 4
  • Philip Robinson
    • 5
  • Juan Rodríguez
    • 6
  • Giada Landi
    • 4
  • Bartosz Belter
    • 7
  • Pascale Vicat-Blanc
    • 8
  • Matteo Biancani
    • 9
  • Cees de Laat
    • 10
  • Eduard Escalona
    • 2
  • Artur Binczewski
    • 7
  1. 1.Athens Institute of TechnologyGreece
  2. 2.i2CAT FoundationSpain
  3. 3.University of BristolUK
  4. 4.NextworksItaly
  5. 5.SAP IrelandIreland
  6. 6.Telefónica I+DSpain
  7. 7.Poznan Supercomputing and Networking CenterPoland
  8. 8.LyatissUSA
  9. 9.Interoute ItalyItaly
  10. 10.University of AmsterdamThe Netherlands

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