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Enterprise Cloud Architecture for Chinese Ministry of Railway

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Cloud Computing (CloudCom 2009)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5931))

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Abstract

Enterprise like PRC Ministry of Railways (MOR), is facing various challenges ranging from highly distributed computing environment and low legacy system utilization, Cloud Computing is increasingly regarded as one workable solution to address this. This article describes full scale cloud solution with Intel Tashi as virtual machine infrastructure layer, Hadoop HDFS as computing platform, and self developed SaaS interface, gluing virtual machine and HDFS with Xen hypervisor. As a result, on demand computing task application and deployment have been tackled per MOR real working scenarios at the end of article.

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References

  1. Lohr, S.: Google and IBM join in cloud computing research. New York Times (October 8, 2007)

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  2. The Hadoop Project, http://hadoop.apache.org/ (last visited July 2009)

  3. Lämmel, R.: Google’s Map Reduce programming model - Revisited. Sci. Comput. Program. 70(1), 1–30 (2008)

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  4. The Tashi Project, http://incubator.apache.org/tashi/

  5. Cloud Computing: An Overview. P1. ACM, New York (2009)

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  6. Xen Community, http://www.xen.org/

  7. Dean, J., Ghemawat, S.: MapReduce: Simplified data processing on large clusters (2008), http://labs.google.com/papers/mapreduce.html (retrieved August 22, 2008)

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Author information

Authors and Affiliations

  1. Intel IT Flex, Shanghai, China

    Xumei Shan & Hefeng Liu

Authors
  1. Xumei Shan
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  2. Hefeng Liu
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Editor information

Editors and Affiliations

  1. SINTEF ICT, NO-7465, Trondheim, Norway

    Martin Gilje Jaatun

  2. School of Computer Science, South China Normal University, Guangzhou, China

    Gansen Zhao

  3. Department of Electrical Engineering and Computer Science, University of Stavanger, NO- 4036, Stavanger, Norway

    Chunming Rong

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© 2009 Springer-Verlag Berlin Heidelberg

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Shan, X., Liu, H. (2009). Enterprise Cloud Architecture for Chinese Ministry of Railway. In: Jaatun, M.G., Zhao, G., Rong, C. (eds) Cloud Computing. CloudCom 2009. Lecture Notes in Computer Science, vol 5931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10665-1_58

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  • DOI: https://doi.org/10.1007/978-3-642-10665-1_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10664-4

  • Online ISBN: 978-3-642-10665-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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