International Journal of Soft Computing

Year: 2016
Volume: 11
Issue: 3
Page No. 145 - 154

Query Plan Generation in DDS Using Non Dominant Based Teacher-Learner Optimization (ND-TLBO) Algorithm

Authors : S. Venkata Lakshmi and Valli Kumari Vatsavayi

References

Aljanaby, A., E. Abuelrub and M. Odeh, 2005. A survey of distributed query optimization. Int. Arab J. Inf. Technol., 2: 48-57.
Direct Link  |  

Avnur, R. and J.M. Hellerstein, 2000. Eddies: Continuously adaptive query processing. ACM. SIGMoD. Rec., 29: 261-272.
CrossRef  |  Direct Link  |  

Ceri, S. and G. Pelagati, 1984. Distributed Database: Principles and System. McGraw Hill, New York, USA.,.

Dong, H. and Y. Liang, 2007. Genetic algorithms for large join query optimization. Proceedings of the 9th Annual Conference On Genetic And Evolutionary Computation, July 7-11, 2007, ACM, London, England, UK, ISBN: 978-1-59593-697-4, pp: 1211-1218.

Ghaemi, R., A.M. Fard, H. Tabatabaee and M. Sadeghizadeh, 2008. Evolutionary query optimization for heterogeneous distributed database systems. World Acad. Sci., 43: 43-49.

Ioannidis, Y.E. and Y. Kang, 1990. Randomized algorithms for optimizing large join queries. ACM. Sigmod Rec., 19: 312-321.
CrossRef  |  Direct Link  |  

Kadkhodaei, H. and F. Mahmoudi, 2011. A combination method for join ordering problem in relational databases using genetic algorithm and ant colony. Proceedings of the 2011 IEEE International Conference on Granular Computing (GrC), November 8-10, 2011, IEEE, Tehran, Iran, ISBN: 978-1-4577-0372-0, pp: 312-317.

Kossmann, D. and K. Stocker, 2000. Iterative dynamic programming: A new class of query optimization algorithms. ACM. Trans. Database Syst. TODS., 25: 43-82.
CrossRef  |  Direct Link  |  

Kumar, T.V. and S. Panicker, 2011. Generating Query Plans for Distributed Query Processing using Genetic Algorithm. In: Information Computing and Applications. Baoxiang, L. and C. Chunlai (Eds.). Springer Berlin Heidelberg, Berlin, Germany, ISBN: 978-3-642-25254-9, pp: 765-772.

Kumar, T.V., V. Singh and A.K. Verma, 2010. Generating distributed query processing plans using genetic algorithm. Proceedings of the 2010 International Conference on Data Storage and Data Engineering (DSDE), February 9-10, 2010, IEEE, New Delhi, India, ISBN: 978-1-4244-5678-9, pp: 173-177.

Kumar, T.V., V. Singh and A.K. Verma, 2011. Distributed query processing plans generationusing genetic algorithm. Int. J. Comput. Theor. Eng., 3: 38-45.
Direct Link  |  

Lin, S. and B.W. Kernighan, 1973. An effective heuristic algorithm for the traveling-salesman problem. Operat. Res., 21: 495-516.
Direct Link  |  

Nahar, S., S. Sahni and E. Shragowitz, 1986. Simulated annealing and combinatorial optimization. Proceedings of the 23rd ACM/IEEE Conference on Design Automation, June 29-July 2, 1986, IEEE Press, Piscataway, New Jersey, USA, ISBN: 0-8186-0702-5, pp: 293-299.

Nasiraghdam, M., S. Lotfi and R. Rashidy, 2010. Query optimization in distributed database using hybrid evolutionary algorithm. Proceedings of the 2010 International Conference on Information Retrieval and Knowledge Management (CAMP), March 17-18, 2010, IEEE, Tabriz, Iran, ISBN: 978-1-4244-5650-5, pp: 125-130.

Ozsu, M.T. and P. Valduriez, 1991. Principles of Distributed Database System. 2nd Edn., Prentice Hall, Englewood Cliffs, New Jersey, USA., ISBN: 9780136916437, Pages: 562.

Poosala, V., P.J. Haas, Y.E. Ioannidis and E.J. Shekita, 1996. Improved histograms for selectivity estimation of range predicates. ACM. SIGMOD. Rec., 25: 294-305.
CrossRef  |  Direct Link  |  

Rho, S. and S.T. March, 1997. Optimizing distributed join queries: A genetic algorithm approach. Ann. Oper. Res., 71: 199-228.
CrossRef  |  

Sevinc E. and A. Cosar, 2010. An evolutionary genetic algorithm for optimization of distributed database queries. Comput. J., Vol. 54, 10.1093/comjnl/bxp130

Stillger, M. and M. Spiliopoulou, 1996. Genetic programming in database query optimization. Proceedings of the 1st Annual Conference on Genetic Programming, July 28-31, Stanford, California, pp: 388-393.

Zhou, Y., W. Wan and J. Liu, 2009. Multi-joint query optimization of database based on the integration of best-worst ant algorithm and genetic algorithm. Proceedings of the IET International Communication Conference on Wireless Mobile and Computing (CCWMC 2009), December 7-9, 2009, IEEE, Shanghai, Chona, ISBN: 978-1-84919-138-8, pp: 543-546.

Zhou, Z., 2007. Using heuristics and genetic algorithms for large scale database query optimization. J. Inf. Comput. Sci., 2: 261-280.
Direct Link  |  

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