Book Chapter10.1007/978-3-030-35646-0_12
Performance Impact to the Applying Design Patternization Techniques to Object-Relational Databases
Boris Schegolev,Himesha Wijekoon,Jakub Štěpán Novák,Vojtěch Merunka +3 more
- 03 Jun 2019
- pp 156-163
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TL;DR: Preliminary research in this area is presented which tries to be independent on individual database vendors and their particular implementations leading to a simple apple-to-apple comparison of the performance impact to the applying of the given patternization technique.
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Abstract: This paper looks at performance aspects of applying object-oriented design patterns to databases mainly on the level of computational complexity. Considering selected patterns that may be applied on both application and database layer, algorithm complexity is evaluated. The authors focus on purely theoretical computational complexity of given algorithms and presents our preliminary research in this area which tries to be independent on individual database vendors and their particular implementations leading to a simple apple-to-apple comparison of the performance impact to the applying of the given patternization technique.
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Citations
A Structured Analysis and Design of a Mobile Repair Development System using a Grady Booch Approach
Rajesh Kaluri,Kanushree Sandeep Jajoo,Vijayendra Vishal Jha,Li-Wei Lin +3 more
- 01 Feb 2020
TL;DR: An idea of an online mobile repair system that permits a customer to submit repair services that serve customers online is proposed that presents an online display of mobile products and an associated delivery window for items selected by the customer.
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Object-Oriented Database Systems
Elisa Bertino,Lorenzo D. Martino +1 more
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CODASYL Data-Base Management Systems
TL;DR: This paper presents in tutorial fashion the concepts, notation, features, and examples of the data-base languages that were defined by the CODASYL Data Description Language and Programming Language Committees.
Query optimizers: time to rethink the contract?
Surajit Chaudhuri
- 29 Jun 2009
TL;DR: It is argued that it is worth rethinking this prevalent model of the optimizer to benefit from leveraging rich usage data and from application input to further advance query optimization technology.