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Selection of materialized views using stochastic ranking based Backtracking Search Optimization Algorithm

Author

Listed:
  • Anjana Gosain

    (Guru Gobind Singh Indraprastha University)

  • Kavita Sachdeva

    (Shree Guru Gobind Singh Tricentenary University)

Abstract

Selection of materialized view plays an important part in structuring decisions effectively in datawarehouse. Materialized view selection (MVS) is recognized as NP-hard and optimization problem, involving disk space and cost constraints. Numerous algorithms exist in literature for selection of materialized views. In this study, authors have proposed stochastic ranking (SR) method, together with Backtracking Search Optimization Algorithm (BSA) for solving MVS problem. The faster exploration and exploitation capabilities of BSA and the ranking method of SR technique for handling constraints are the motivating factors for proposing these two together for MVS problem. Authors have compared results with the constrained evolutionary optimization algorithm proposed by Yu et al. (IEEE Trans Syst Man Cybernet Part C Appl Rev 33(4):458–467, 2003). The proposed method handles the constraints effectively, lessens the total processing cost of query and scales well with problem size.

Suggested Citation

  • Anjana Gosain & Kavita Sachdeva, 2019. "Selection of materialized views using stochastic ranking based Backtracking Search Optimization Algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 801-810, August.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:4:d:10.1007_s13198-019-00812-x
    DOI: 10.1007/s13198-019-00812-x
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    References listed on IDEAS

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    1. T.V. Vijay Kumar & Santosh Kumar, 2015. "Materialised view selection using randomised algorithms," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 19(2), pages 224-240.
    2. Biri Arun & T.V. Vijay Kumar, 2015. "Materialized View Selection using Marriage in Honey Bees Optimization," International Journal of Natural Computing Research (IJNCR), IGI Global, vol. 5(3), pages 1-25, July.
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