AutoAdmin “what-if” index analysis utility
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Automated Selection of Materialized Views and Indexes in SQL Databases
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Integrating vertical and horizontal partitioning into automated physical database design
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Recommending Materialized Views and Indexes with IBM DB2 Design Advisor
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Model driven generation and testing of object-relational mappings
Journal of Systems and Software
Configuration-parametric query optimization for physical design tuning
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Using UML/OCL constraints for relational database design
UML'99 Proceedings of the 2nd international conference on The unified modeling language: beyond the standard
Object modeling of RDF schema for converting UML class diagram
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
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In modern IT landscapes, databases are subject to a major role change. Especially in Service-Oriented Architectures, databases are more and more frequently dedicated to a single application. Therefore, it is even more important to reflect the application requirements in their design. Software developers and application experts formulate application requirements in software models. Hence, we obviously need to bridge the gap to the software world and directly derive a database design from the software models used in application development and maintenance. We introduce this concept as model-driven database design. In this paper, we present the architecture principles of a model-driven database design tool and details on the enumeration and evaluation of logical database designs.