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Towards an Efficient Data Fragmentation, Allocation, and Clustering Approach in a Distributed Environment

Authors :
Hassan Abdalla
Abdel Monim Artoli
Source :
Information, Vol 10, Iss 3, p 112 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

Data fragmentation and allocation has for long proven to be an efficient technique for improving the performance of distributed database systems’ (DDBSs). A crucial feature of any successful DDBS design revolves around placing an intrinsic emphasis on minimizing transmission costs (TC). This work; therefore, focuses on improving distribution performance based on transmission cost minimization. To do so, data fragmentation and allocation techniques are utilized in this work along with investigating several data replication scenarios. Moreover, site clustering is leveraged with the aim of producing a minimum possible number of highly balanced clusters. By doing so, TC is proved to be immensely reduced, as depicted in performance evaluation. DDBS performance is measured using TC objective function. An inclusive evaluation has been made in a simulated environment, and the compared results have demonstrated the superiority and efficacy of the proposed approach on reducing TC.

Details

Language :
English
ISSN :
20782489
Volume :
10
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Information
Publication Type :
Academic Journal
Accession number :
edsdoj.85ec6f0d4f8d41a9a05159eea7c9b84f
Document Type :
article
Full Text :
https://doi.org/10.3390/info10030112