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Query Optimization: An Intelligent Hybrid Approach using Cuckoo and Tabu Search

Author

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  • Mukul Joshi

    (Department of Computer Science and Information System, Birla Institute of Technology & Science, Pilani Rajasthan, India)

  • Praveen Ranjan Srivastava

    (Department of Computer Science and Information System, Birla Institute of Technology & Science, Pilani Rajasthan, India)

Abstract

Query optimization is an important aspect in designing database management systems, aimed to find an optimal query execution plan so that overall time of query execution is minimized. Multi join query ordering (MJQO) is an integral part of query optimizer. This paper aims to propose a solution for MJQO problem, which is an NP complete problem. This paper proposes a heuristic based algorithm as a solution of MJQO problem. The proposed algorithm is a combination of two basic search algorithms, cuckoo and tabu search. Simulation shows some exciting results in favour of the proposed algorithm and concludes that proposed algorithm can solve MJQO problem in less amount of time than the existing methods.

Suggested Citation

  • Mukul Joshi & Praveen Ranjan Srivastava, 2013. "Query Optimization: An Intelligent Hybrid Approach using Cuckoo and Tabu Search," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 9(1), pages 40-55, January.
    • Handle: RePEc:igg:jiit00:v:9:y:2013:i:1:p:40-55
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