Study of Query Optimization in Cloud

Authors

  • Y. Supriya  G. Pullaiah college of Engineering and Technology, Department of CSE, Kurnool, Andhra Pradesh, India
  • K. Gayathri  G. Pullaiah college of Engineering and Technology, Department of CSE, Kurnool, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/IJSRST196219

Keywords:

Cloud Computing, Map-Reduce, Service Level Agreement, Query optimization, Conventional SQL.

Abstract

Cloud computing in very simple terms, is basically where a company uses someone else

References

  1. D. J. Abadi, “Data Management in the Cloud: Limitations and Opportunities”, IEEE Data Eng. Bull., vol. 32, no. 1, (2009), pp. 3-12.
  2. D. Agrawal, S. Das and A. E. Abbadi, “Big data and cloud computing: current state and future opportunities”, In Proceedings of the 14th International Conference on Extending Database Technology, ACM, (2011), pp. 530-533.
  3. L. Zhou, K. He, X. Sheng and B. Wang, “A survey of data management system for cloud computing: models and searching methods”, Research Journal of Applied Sciences, Engineering and Technology, vol. 6, no. 2, pp. 244-248
  4. H. Hacigu?mu?s, J. Tatemura, W. P. Hsiung, H. J. Moon, O. Po, A. Sawires and H. Jafarpour, “CloudDB: One size fits all revived”, In Services (SERVICES-1), 2010 6th World Congress on IEEE, (2010), pp. 148-149
  5. T. Dokeroglu, S. A. Sert and M. S. Cinar, “Evolutionary multi-objective query workload optimization of Cloud data warehouses”, The Scientific World Journal, (2014).
  6. P. Doshi and V. Raisinghani, “Review of dynamic query optimization strategies in distributed database”, In Electronics Computer Technology (ICECT), 2011 3rd International Conference on IEEE, vol. 6, (2011), pp. 145-149
  7. A. Tripathy, L. Mishra, and P. K. Patra, “A query optimization strategy for implementing multidimensional model in spatial database system,” in Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on, vol. 2, pp. 64–68, IEEE, 2010.
  8. G. Chen, Y. Wu, J. Liu, G. Yang, and W. Zheng, “Optimization of sub-query processing in distributed data integration systems,” Journal of Network and Computer Applications, vol. 34, no. 4, pp. 1035–1042, 2011.
  9. Y. N. Silva, P.-A. Larson, and J. Zhou, “Exploiting common sub expressions for cloud query processing,” in Data Engineering (ICDE), 2012 IEEE 28th International Conference on, pp. 1337–1348, IEEE, 2012
  10. H. Zhao, S. Yang, Z. Chen, S. Jin, H. Yin, and L. Li, “Mapreduce model-based optimization of range queries,” in Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on, pp. 2487– 2492, IEEE, 2012.

International Journal of Scientific Research in Science and Technology

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Published

2019-04-30

Issue

Volume 6, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Y. Supriya, K. Gayathri, " Study of Query Optimization in Cloud , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 6, Issue 2, pp.91-94, March-April-2019. Available at doi : https://doi.org/10.32628/IJSRST196219