An adaptive data replication algorithm
ACM Transactions on Database Systems (TODS)
Database techniques for the World-Wide Web: a survey
ACM SIGMOD Record
Principles of distributed database systems (2nd ed.)
Principles of distributed database systems (2nd ed.)
On Data Allocation with the Minimum Overall Communication Costs in Distributed Database Design
ICCI '93 Proceedings of the Fifth International Conference on Computing and Information
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Analytically Tuned Simulated Annealing Applied to the Protein Folding Problem
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
WSEAS Transactions on Computers
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
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In this paper we address the problem of designing allocation schemas of large database-objects in a Web environment that may be exposed to significant changes in usage and access patterns and scaling of data. In these circumstances, if the design is not adjusted to the new changes, the system can undergo a severe degradation in data access costs and response time. In order to solve this problem, we propose a formal model to generate a new database-object allocation. The model uses current state information of the system and usage statistical data collected during a given period, and adapts the system to the new usage patterns so as to minimize communication costs. Implicitly the mathematical model handles database-object migration and scaling of the number of sites. Model tests have been conducted with satisfactory and promising results. The principles used in the model can be applied to other models for the optimization of Web resources.