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Roadmap for the Uptake of the e-Infrastructure in the Asia-Pacific Region

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Data Driven e-Science
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Abstract

Scientific research is facing today important computational challenges, as huge amount of data need processing from worldwide distributed communities. Hence data management facilities and computational infrastructures are playing an increasingly important role in science and the use of computing grids as collaborative environment for science is taking up. In the last few years Europe has pioneered the field of e-Infrastructures, by building and operating a distributed grid environment based on the gLite middleware. The EGEE [1] grid provides the framework to connect researchers worldwide, by enabling them to share resources on a large scale, with a very stable service quality.

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References

  1. EGEE - Enabling Grids for E-sciencE, http://www.eu-egee.org/

  2. EUAsiaGrid – Towards a common e-Science infrastructure with the European and Asian Grids, http://www.euasiagrid.eu

  3. WLCG – World LHC Computing Grid, http://lcg.web.cern.ch/LCG/

  4. E. Yen, S.C. Lin, and S.J. Lee et al (2009), “e-Science for Earthquake Disaster Mitigation in EUAsiaGrid”, e-Infrastructure for Regional e-Science (ed. SEEGrid), pp. 211-219, ISBN: 978-975-403-510-0, 2009

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  5. WISDOM - Initiative for grid-enabled drug discovery against neglected and emergent diseases, http://wisdom.eu-egee.fr/

  6. Asia-Pacific Advanced Network, http://www.apan.net

  7. EUAsiaGrid Roadmap, http://www.euasiagrid.eu/roadmap

  8. European Grid Initiative, http://www.egi.eu

  9. EGI-InSPIRE – Towards a sustainable production grid infrastructure,http://www.egi.eu/projects/egi-inspire/

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© 2011 Springer Science+Business Media, LLC

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Paganoni, M. (2011). Roadmap for the Uptake of the e-Infrastructure in the Asia-Pacific Region. In: Lin, S., Yen, E. (eds) Data Driven e-Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8014-4_2

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  • DOI: https://doi.org/10.1007/978-1-4419-8014-4_2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-8013-7

  • Online ISBN: 978-1-4419-8014-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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