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International Symposium on Spatial and Temporal Databases

SSTD 2015: Advances in Spatial and Temporal Databases pp 491–496Cite as

Distributed SECONDO: A Highly Available and Scalable System for Spatial Data Processing

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9239))

Abstract

Cassandra is a highly available and scalable data store but it provides only limited capabilities for data analyses. However, database management systems (DBMS) provide a lot of functions to analyze data but most of them scale poorly. In this paper, a novel method is proposed to couple Cassandra with a DBMS. The result is a highly available and scalable system that provides all the functions from the DBMS in a distributed manner. Cassandra is used as a data store and the DBMS Secondo is used as a query processing engine. Secondo is an extensible DBMS, it provides various data models, e.g. models for spatial data and moving objects data. With Distributed Secondo functions like spatial joins can be performed distributed and parallelized on many computers.

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References

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, FernUniversität Hagen, 58084, Hagen, Germany

    Jan Kristof Nidzwetzki & Ralf Hartmut Güting

Authors
  1. Jan Kristof Nidzwetzki
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  2. Ralf Hartmut Güting
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Corresponding author

Correspondence to Jan Kristof Nidzwetzki .

Editor information

Editors and Affiliations

  1. Naval Academy Research Institute, Brest naval, France

    Christophe Claramunt

  2. University of Florida, Gainesville, Florida, USA

    Markus Schneider

  3. Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Raymond Chi-Wing Wong

  4. Emory University, Atlanta, USA

    Li Xiong

  5. Gachon University, Gyeonggi-do, Korea (Republic of)

    Woong-Kee Loh

  6. University of Southern California, Los Angeles, USA

    Cyrus Shahabi

  7. Department of Computer Science, Pusan National University, Pusan, Korea (Republic of)

    Ki-Joune Li

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Nidzwetzki, J.K., Güting, R.H. (2015). Distributed SECONDO: A Highly Available and Scalable System for Spatial Data Processing. In: Claramunt, C., et al. Advances in Spatial and Temporal Databases. SSTD 2015. Lecture Notes in Computer Science(), vol 9239. Springer, Cham. https://doi.org/10.1007/978-3-319-22363-6_28

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  • DOI: https://doi.org/10.1007/978-3-319-22363-6_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22362-9

  • Online ISBN: 978-3-319-22363-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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