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Multi-objective materialized view selection using NSGA-II

Author

Listed:
  • Jay Prakash

    (Jawaharlal Nehru University)

  • T. V. Vijay Kumar

    (Jawaharlal Nehru University)

Abstract

Data warehouse is constructed with the purpose of supporting decision making. Decision making queries, being long and complex, consume a lot of time in processing against a continuously growing data warehouse. View materialization is one of the alternative ways of improving the response time of such analytical or decision making queries. This involves selection and materialization of views that minimize the analytical query response times while adhering to the resource constraints. This is referred to as the view selection problem, which is a NP-Hard problem. The view selection problem is concerned with simultaneously minimizing the cost of evaluating materialized and non-materialized views. This being a bi-objective optimization problem is addressed using NSGA-II in this paper. The proposed approach aims to achieve an acceptable trade-off between the afore-mentioned two objectives.

Suggested Citation

  • Jay Prakash & T. V. Vijay Kumar, 2020. "Multi-objective materialized view selection using NSGA-II," 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. 11(5), pages 972-984, October.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:5:d:10.1007_s13198-020-01030-6
    DOI: 10.1007/s13198-020-01030-6
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    References listed on IDEAS

    as
    1. T.V. Vijay Kumar, 2013. "Answering query-based selection of materialised views," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 5(1), pages 103-116.
    2. Jay Prakash & T. V. Vijay Kumar, 2020. "Multi-objective materialized view selection using MOGA," 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. 11(2), pages 220-231, July.
    3. T.V. Vijay Kumar & Kalyani Devi, 2012. "Materialised view construction in data warehouse for decision making," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 11(4), pages 379-396.
    4. 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.
    5. Biren Shah & Karthik Ramachandran & Vijay Raghavan, 2006. "A Hybrid Approach for Data Warehouse View Selection," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 2(2), pages 1-37, April.
    6. T.V. Vijay Kumar & Biri Arun, 2016. "Materialised view selection using BCO," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(3), pages 280-301.
    7. Mohammad Haider Syed & T.V. Vijay Kumar, 2017. "Query Frequency based View Selection," International Journal of Business Analytics (IJBAN), IGI Global, vol. 4(1), pages 36-55, January.
    8. T. V. Vijay Kumar & Biri Arun, 2017. "Materialized view selection using HBMO," 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. 8(1), pages 379-392, January.
    9. T.V. Vijay Kumar & Mohammad Haider, 2015. "Query answering-based view selection," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 18(3), pages 338-353.
    10. Biri Arun & T.V. Vijay Kumar, 2017. "Materialized View Selection using Artificial Bee Colony Optimization," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 13(1), pages 26-49, January.
    11. Biri Arun & T.V. Vijay Kumar, 2017. "Materialized View Selection Using Bumble Bee Mating Optimization," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 9(3), pages 1-27, July.
    12. 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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