Query Optimization of A Distributed Database System Using Fuzzy Logic

Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 1

Abstract

Query optimization of a system is the process of modifying or enhancing that system, so that some aspect of the system works more efficiently and makes use of fewer resources. Generally, a query is optimized so that it can execute more rapidly, operate with less memory or resources. The objectives of this paper are to design a distributed system that optimizes queries and processors, and to develop effective query execution plans for mining distributed database with the use of fuzzy logic. The system was implemented by developing a suitable framework for query processing in a distributed system that is time dependent, and a fuzzy logic approach was employed based on linguistic terminology for flexible user query. The result obtained shows fuzzy queries will always take less response time as compared to normal SQL queries. As observed, this is due to the fact that query evaluation engine does not have to search all the records in a database, it searches the records within the fuzzy range value alone.

Authors and Affiliations

O. T. Timi- Johnsonand, P. O. Asagba.

Keywords

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  • EP ID EP396005
  • DOI -
  • Views 74
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How To Cite

O. T. Timi- Johnsonand, P. O. Asagba. (2018). Query Optimization of A Distributed Database System Using Fuzzy Logic. International Journal of Engineering and Science Invention, 7(1), 67-74. https://europub.co.uk/articles/-A-396005