Design of distributed database systems: an iterative genetic algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
http://link.springer.com/content/pdf/10.1007/s10844-013-0269-0.pdf
Reference24 articles.
1. Arcangeli, J., Hameurlain, A., Migeon, E., Morvan, F. (2004). Mobile agent based self-adaptive join for wide-area distributed query processing. Journal of Database Management, 15(4), 25–44.
2. Baiao, F., Mattoso, M., Zaverucha, G. (2004). A distribution design methodology for object DBMS. Journal of Distributed and Parallel Databases, 16(1), 45–90.
3. Bellatreche, L., Cuzzocrea, A., Benkrid, S. (2010). F&A: a methodology for effectively and efficiently designing parallel relational data warehouses on hetrogenous database clusters. In Data warehouse and knowledge discovery (DaWak) (pp. 89–104)
4. Bellatreche, L., Cuzzocrea, A., Benkrid, S. (2012). Effectively and efficiently designing and querying parallel relational data warehouses on hetrogenous database clusters: the F&A approach. Journal of Database Management, 23(4), 17–51.
5. Bergsten, B., Couprie, M., Valduriez, P. (1993). Overview of parallel architectures for database. The Computer Journal, 36, 734–740.
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