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Cloud-Scale Transaction Processing with ParaDB System: A Demonstration

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Database Systems for Advanced Applications (DASFAA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8422))

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Abstract

Scalability, flexibility, fault-tolerance and self-manageability are desirable features for data management in the cloud. This paper demonstrates ParaDB, a cloud-scale parallel relational database system optimized for intensive transaction processing. ParaDB satisfies the aforementioned four features without sacrificing the ACID transactional requirements. ParaDB is designed to break the petabyte or exabyte barrier and scale out to many thousands of servers while providing transactional support with strong consistency

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References

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  5. Guo, X., Cao, Y., Zhou, B., Xiang, D., Zhao, L.: ParaDB: A Cloud-Scale Parallel Database System for Intensive Transaction Processing. Technical Report (2013), https://tinyurl.com/paraDB-techreport

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Author information

Authors and Affiliations

  1. EMC Labs, China

    Xiaoyan Guo, Yu Cao, Baoyao Zhou, Dong Xiang & Liyuan Zhao

Authors
  1. Xiaoyan Guo
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  2. Yu Cao
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  3. Baoyao Zhou
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  4. Dong Xiang
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  5. Liyuan Zhao
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Editor information

Editors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore

    Sourav S. Bhowmick

  2. Department of Computer Science, Utah State University, Old Main Hill, 4205, 84322-4205, Logan, UT, USA

    Curtis E. Dyreson

  3. Department of Computer Science, Aalborg University, Selma Lagerløfs Vej, 300, 9220, Aalborg Øst, Denmark

    Christian S. Jensen

  4. Department of Computer Science, National University of Singapore, 13 Computing Drive, 117417, Singapore, Singapore

    Mong Li Lee

  5. Department of Computer Science, Udayana University, Jl. Kampus Unud Jimbaran Bali, 80364, Badung, Bali, Indonesia

    Agus Muliantara

  6. Information Systems Engineering, Christian-Albrechts-Universität zu Kiel, Olshausenstrasse 40, 24098, Kiel, Germany

    Bernhard Thalheim

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© 2014 Springer International Publishing Switzerland

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Guo, X., Cao, Y., Zhou, B., Xiang, D., Zhao, L. (2014). Cloud-Scale Transaction Processing with ParaDB System: A Demonstration. In: Bhowmick, S.S., Dyreson, C.E., Jensen, C.S., Lee, M.L., Muliantara, A., Thalheim, B. (eds) Database Systems for Advanced Applications. DASFAA 2014. Lecture Notes in Computer Science, vol 8422. Springer, Cham. https://doi.org/10.1007/978-3-319-05813-9_39

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  • DOI: https://doi.org/10.1007/978-3-319-05813-9_39

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05812-2

  • Online ISBN: 978-3-319-05813-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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