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Distributed Structured Database System HugeTable

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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

The demand of analyzing and processing mass data is increasing in recent years. Though several optimization versions developed, the traditional RDBMS still met a lot of difficulties when facing so huge volume of data. A newly designed distributed structured database HugeTable is proposed, which have the advantage of supporting very large scale of data and fast query speed. HugeTable also have a good compatibility with the standard SQL query language. The basic functions, system architecture and critical techniques are discussed in detail. The usability and efficiency are proved by experiments.

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References

  1. Hadoop Pig project, http://hadoop.apache.org/pig

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Author information

Authors and Affiliations

  1. Department of Service Support Technology, China Mobile Research Institute, 100053, Beijing, China

    Ji Qi, Ling Qian & Zhiguo Luo

Authors
  1. Ji Qi
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  2. Ling Qian
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  3. Zhiguo Luo
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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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Qi, J., Qian, L., Luo, Z. (2009). Distributed Structured Database System HugeTable. 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_31

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  • DOI: https://doi.org/10.1007/978-3-642-10665-1_31

  • 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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