An Approach for Solving Very Large Scale Instances of the Design Distribution Problem for Distributed Database Systems.

Autor: Ramos, Felix F., Larios Rosillo, Victor, Unger, Herwig, Pérez O., Joaquín, Pazos R., Rodolfo A., Frausto-Solís, Juan, Reyes S., Gerardo, Santaolaya S., Rene, Fraire H., Héctor J., Cruz R., Laura
Zdroj: Advanced Distributed Systems; 2005, p33-42, 10p
Abstrakt: In this paper we deal with the solution of very large instances of the design distribution problem for distributed databases. Traditionally the capacity for solving large scale instances of NP-hard problems has been limited by the available computing resources and the efficiency of the solution algorithms. In contrast, in this paper we present a new solution approach that permits to solve larger instances using the same resources. This approach consists of the application of a systematic method for transforming an instance A into a smaller instance A' that has a large representativeness of instance A. For validating our approach we used a mathematical model developed by us, whose solution yields the design of a distributed database that minimizes its communication costs. The tests showed that the solution quality of the transformed instances was on the average 10.51% worse than the optimal solution; however, the size reduction was 97.81% on the average. We consider that the principles used in the proposed approach can be applied to the solution of very large instances of NP-hard problems of other problem types. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index