Fragmentation techniques for ideal performance in distributed database - a survey

Sharifah Hafizah, Syed Ahmad Ubaidillah and Noraziah, Ahmad and Odili, Julius Beneoluchi (2020) Fragmentation techniques for ideal performance in distributed database - a survey. International Journal of Software Engineering & Computer Sciences (IJSECS), 6 (1). pp. 18-24. ISSN 2289-8522. (Published)

Pdf (Open access)
Fragmentation techniques for ideal performance in distributed database.pdf

Download (198kB) | Preview


Distributed processing is an operative way to improve the performance of the distributed database systems and thus showing the effectiveness of computational intelligence. A specific arrangement of distributed processing through distributed database, where a logically integrated database is physically scattered over several distinct but linked through the computing facilities. Hence, proper fragmentation of data across numerous sites of the network is considered as a significant exploration area in the distributed database environment. Data can be allocated in distinct servers by fragmenting the complete or partially database into several pieces with different techniques. Each piece is stored at the different sites. In this paper, an exploration of fragmentation techniques in distributed database is done. Fragmentation techniques had been proved by many researches in improving the performance of the distributed database system, increase the data accessibility, reduce the transfer cost and access time. This paper presents a survey of numerous fragmentation techniques on distributed database systems.

Item Type: Article
Additional Information: Indexed by MyCite
Uncontrolled Keywords: Distributed database; Data fragmentation; Computational intelligence; Transfer cost; Access time
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Centre of Excellence: IBM Centre of Excellence
Institute of Postgraduate Studies
Faculty of Computing
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 20 Oct 2020 07:45
Last Modified: 20 Oct 2020 07:45
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item