Title: Redundancy recognition in heavy weight structure with different parameters

Authors: S. Sahunthala; A. Udhaya Kumar; Latha Parthiban

Addresses: Department of Information Technology, Anand Institute of Higher Technology, Kazipattur, Chennai – 603103, India ' Department of MCA, Hindustan Institute of Technology and Science, Padur, Chennai – 603103, India ' Department Computer Science, Pondicherry University, Kalapet, Puducherry – 605014, India

Abstract: Volume of data are transferred on the internet with the user defined format. Replica data and heavy weight structure process turn into problem if data is being processed in data ware house. It degrades the performance of query processing and occupies extra memory space. This paper analysis the data replica detection in the heavy weight structure with different parameters. In the existing techniques heavy weight structure is used to find the replica detection. If the number computation is increased, the performance is decreased when the query is processed. If the heavy weight structure absorbs huge amount of space it takes more time for query processing. The proposed technique - light weight binary duplicate detection (LWBDD) helps to get better outcome for query processing with detection of replica data in a hierarchical structure. This technique also support to generate good quality outcome than the existing approaches.

Keywords: replica detection; properties; heavy weight structure; light weight structure; query process.

DOI: 10.1504/IJAIP.2023.128083

International Journal of Advanced Intelligence Paradigms, 2023 Vol.24 No.1/2, pp.145 - 155

Received: 03 Jul 2018
Accepted: 02 Jun 2019

Published online: 05 Jan 2023 *

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