A quadratic programming model for optimal data distribution

In this paper, a quadratic programming model is developed to take into consideration a number of factors that can influence the process of optimal allocation of data among the nodes in a distributed database. The factors include communication costs, translation costs, congestion costs and storage costs. Beale's method is used to solve the resulting quadratic program. Some numerical examples are presented and the potentials of such an approach in the design and analysis of distributed databases are discussed.This work was partially supported by a grant from Natural Science and Engineering Research Council of Canada.