Emerging Database course DATA ESTIMATION IN THE DISTRIBUTED

Emerging Database course: DATA ESTIMATION IN THE DISTRIBUTED RELATIONAL DATABASES ENVIRONMENT

DATA ESTIMATION IN THE DISTRIBUTED RELATIONAL DATABASES ENVIRONMENT A distributed relational database environment is a new trend for business data processing. Sometimes a business distributes its data to each related department. Each department manages its own data. This is for the convenience of speed and management. However, there are some cases where database servers fail when end users are querying databases. In this situation, we must provide a method for estimating the data stored in the failed server to approach the original values. In the following, we use a fuzzy similarity matrix to represent a fuzzy relation. Suppose that we define a linguistic variable V that contains linguistic terms Vt, v 2, . . . , Vn. Then we can make a fuzzy relation matrix for the linguistic variable Vas shown in the following Figure, where uii is the closeness degree between Vi and vi, Uij E [0, 1], 1: : ; i: : ; n, and 1: : ; j: : ; n. We can say that the closeness degree CD(vi, vi) between the fuzzy term vi and the fuzzy term Vj is Uij, denoted as where each value of Uij in the fuzzy relation matrix Vis defined by an experi enceddatabase administrator.

REFERENCES • Timon C. Du. , Emerging Database System Architectures • Bochmann, G. Concepts for Distributed Systems Design • Capron, H. L. Computers: Tools for an Information Age