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A Software Tool and a Network Simulation for Improving Quality of Service Performance in Distributed Database Management Systems

A Software Tool and a Network Simulation for Improving Quality of Service Performance in Distributed Database Management Systems
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Author(s): Ismail Omar Hababeh (United Arab Emirates University, UAE)and Muthu Ramachandran (Leeds Metropolitan University, UK)
Copyright: 2010
Pages: 25
Source title: Handbook of Research on Software Engineering and Productivity Technologies: Implications of Globalization
Source Author(s)/Editor(s): Muthu Ramachandran (Leeds Metropolitan University, UK)and Rogério Atem de Carvalho (Instituto Federal Fluminense, Brazil)
DOI: 10.4018/978-1-60566-731-7.ch018

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Abstract

The efficiency and effectiveness of Quality of Service QoS performance methods in a Distributed Database Management System DDBMS environment are measured by their successfully simulation on the real world applications. To achieve the goals of the simulation modules and to analyze the behaviour of the distributed database network system and the QoS performance methods of fragmentation, clustering and allocation, an integrated software tool for a DDBMS supported by the OPNET is designed and presented. It is developed to wisely distribute the data among several sites on a database network system, effectively enhance the QoS performance at lower cost, successfully provide reliability to the DDBMS in case of site failure, and efficiently increase the data availability where multiple copies of the same data are allocated to different sites. The integrated software tool supply the database administrators with a software that is friendly use, easy to navigate, comprehensive, and expandable that simulate the techniques of database fragmentation, clustering network sites, and fragment allocation and replication in a DDBMS. The tool performs the database transactions operations efficiently and effectively through reliable forms that allow the database administrators to control over their operations and follow up the system improvements and QoS enhancements. The performance evaluation and simulation results indicate that the proposed methods significantly improves the QoS performance in the DDBMS even with manageable extra information, network sites, communication and processing cost functions.

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