Performance Evaluation Of Database Design Approaches: For Object Relational Data Management

Bashir, Golam M.; Shafey, Abdul L.; Hoque, Abu S. L.; Bashir, Golam M.; Shafey, Abdul L.; Hoque, Abu S. L.

ISBN 10: 3846545554 / ISBN 13: 9783846545553

Editore: Lap Lambert Academic Publishing, 2011

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152 pages. 8.66x5.91x0.35 inches. In Stock. Codice articolo __3846545554

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Titolo: Performance Evaluation Of Database Design ...

Casa editrice: Lap Lambert Academic Publishing

Data di pubblicazione: 2011

Legatura: Paperback

Condizione: Brand New

Descrizione articolo

Riassunto:

The output of the conceptual database design may be a relational database, universal relational database, binary relational database, object database or object relational database. There are also a number of different ways to achieve these different database solutions. The performance of the database in terms of storage and query processing is greatly influenced by the database design strategies or approaches. It is difficult to find a single strategy to achieve good performance in all types of the database applications. This thesis presents a number of approaches for the design of relational and object-relational databases. We have designed a number of test cases to evaluate the performance of the design approaches and to evaluate the performance of the database. On the basis of different data models, analytical evaluation is performed for all the design approaches. Experimental evaluation for all different approaches has been performed by using both synthetic and real data sets with different characteristics. The main components that we have considered for different approaches are denormalization, nested relations and object orientation.

L'autore:

GOLAM MD. MURADUL BASHIR is an assistant professor in Computer and Communication Engineering Dept. at the PATUAKHALI SCIENCE AND TECHNOLOGY UNIVERSITY. He has completed M.Sc. in Information and Communication Technology from Bangladesh University of Engineering and Technology. His research interest includes information retrieval and optimization.