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The GENI Book pp 589-632 | Cite as

Creating a Worldwide Network for the Global Environment for Network Innovations (GENI) and Related Experimental Environments

  • Joe MambrettiEmail author
  • Jim Chen
  • Fei Yeh
  • Jingguo Ge
  • Junling You
  • Tong Li
  • Cees de Laat
  • Paola Grosso
  • Te-Lung Liu
  • Mon-Yen Luo
  • Aki Nakao
  • Paul Müller
  • Ronald van der Pol
  • Martin Reed
  • Michael Stanton
  • Chu-Sing Yang
Chapter

Abstract

Many important societal activities are global in scope, and as these activities continually expand world-wide, they are increasingly based on a foundation of advanced communication services and underlying innovative network architecture, technology, and core infrastructure. To continue progress in these areas, research activities cannot be limited to campus labs and small local testbeds or even to national testbeds. Researchers must be able to explore concepts at scale—to conduct experiments on world-wide testbeds that approximate the attributes of the real world. Today, it is possible to take advantage of several macro information technology trends, especially virtualization and capabilities for programming technology resources at a highly granulated level, to design, implement and operate network research environments at a global scale. GENI is developing such an environment, as are research communities in a number of other countries. Recently, these communities have not only been investigating techniques for federating these research environments across multiple domains, but they have also been demonstration prototypes of such federations. This chapter provides an overview of key topics and experimental activities related to GENI international networking and to related projects throughout the world.

Keywords

Software Define Networking Control Framework Multi Protocol Label Switch Information Centric Networking Software Define Networking Controller 
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.

Notes

Acknowledgments

The authors would like to express appreciation for the support of the projects described here from many organizations, including the National Science Foundation, the GENI Program Office (GPO), the Department of Energy’s Office of Energy Science, the StarLight International/National Communications Exchange Facility consortium, the Metropolitan Research and Education Network, and the Open Cloud Consortium. The International Multi-Domain Automatic Network Topology Discovery Project is sponsored by Ministry of Science and Technology, Taiwan, R.O.C. under contract number MOST 103-2221-E-492-030. The University of Amsterdam would like to thank the Dutch National Program COMMIT. This project also would like to acknowledge all participants of TWAREN SDN Testbed, including National Cheng Kung University, National Central University, National Taiwan University of Science and Technology, National Ilan University, National Chiao Tung University, National Kaohsiung University of Applied Sciences, Chunghwa Telecom Laboratories, International Center for Advanced Internet Research, JGN-X, and SURFnet, for their helping of setup, testing, and troubleshooting.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Joe Mambretti
    • 1
    Email author
  • Jim Chen
    • 1
  • Fei Yeh
    • 1
  • Jingguo Ge
    • 2
  • Junling You
    • 2
  • Tong Li
    • 2
  • Cees de Laat
    • 3
  • Paola Grosso
    • 3
  • Te-Lung Liu
    • 4
  • Mon-Yen Luo
    • 5
  • Aki Nakao
    • 6
  • Paul Müller
    • 7
  • Ronald van der Pol
    • 8
  • Martin Reed
    • 9
  • Michael Stanton
    • 10
  • Chu-Sing Yang
    • 11
  1. 1.International Center for Advanced Internet Research Northwestern UniversityChicagoUSA
  2. 2.China Science and Technology Network, Computer Network Information CenterChinese Academy of SciencesBeijingChina
  3. 3.University of AmsterdamAmsterdamThe Netherlands
  4. 4.National Center for High-Performance ComputingNational Applied LaboratoriesHsinchu CityTaiwan
  5. 5.National Kaohsiung University of Applied SciencesKaohsiungTaiwan
  6. 6.University of TokyoTokyoJapan
  7. 7.Integrated Communication Systems Lab., Department of Computer ScienceUniversity of KaiserslauternKaiserslauternGermany
  8. 8.SURFnetUtrechtThe Netherlands
  9. 9.University of EssexColchesterUK
  10. 10.Brazilian Research and Education Network—RNPRio de JaneiroBrazil
  11. 11.National Cheng-Kung UniversityTainan CityTaiwan

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