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Application of Optimization of Parallel Algorithms to Queries in Relational Databases

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Computational Science and Its Applications – ICCSA 2016 (ICCSA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9787))

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Abstract

All known approaches to parallel data processing in relational client-server database management systems are based only on inter-query parallelism. Nevertheless, it’s possible to achieve intra-query parallelism by consideration of a request structure and implementation of mathematical methods of parallel calculations for its equivalent transformation. This article presents an example of complex query parallelization and describes applicability of the graph theory and methods of parallel computing both for query parallelization and optimization.

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References

  1. Feng, L., Li, Q., Wong, A.: Mining inter-transactional association rules: generalization and empirical evaluation. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds.) DaWaK 2001. LNCS, vol. 2114, pp. 31–40. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  2. http://www.computerworld.com/article/2513954/data-center/data-growth-remains-it-s-biggest-challenge–gartner-says.html

  3. http://www.eweek.com/enterprise-apps/scaleout-introduces-analytics-server-to-crunch-big-data

  4. Akal, F., Böhm, K., Schek, H.-J.: OLAP query evaluation in a database cluster: a performance study on intra-query parallelism. In: Manolopoulos, Y., Návrat, P. (eds.) ADBIS 2002. LNCS, vol. 2435, pp. 218–231. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  5. Sanjay, A., Narasayya, V.R., Yang, B.: Integrating vertical and horizontal partitioning into automated physical database design. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 359–370, June 2004

    Google Scholar 

  6. https://eden.dei.uc.pt/~pnf/publications/Furtado_survey.pdf

  7. Chen, Y., Dehne, F., Eavis, T., Rau-Chaplin, A.: Parallel ROLAP data cube construction on shared-nothing multiprocessors. Distrib. Parallel Databases 15(3), 219–236 (2014)

    Article  Google Scholar 

  8. DeWitt, D.J., Gray, J.: Parallel database systems: the future of high performance database systems. Commun. ACM 35(6), 85–98 (1992)

    Article  Google Scholar 

  9. Valduriez, P.: Parallel database systems: open problems and new issues. Distrib. Parallel Databases 1(2), 137–165 (1993). doi:10.1007/BF01264049

    Article  Google Scholar 

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Correspondence to Yulia Shichkina or Alexander Degtyarev .

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Shichkina, Y., Degtyarev, A., Gushchanskiy, D., Iakushkin, O. (2016). Application of Optimization of Parallel Algorithms to Queries in Relational Databases. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9787. Springer, Cham. https://doi.org/10.1007/978-3-319-42108-7_28

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  • DOI: https://doi.org/10.1007/978-3-319-42108-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42107-0

  • Online ISBN: 978-3-319-42108-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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