Allocating data fragments in distributed database systems is an important issue in distributed database (DDB) systems. In this paper, we are going to improve the effectiveness of current NNA algorithm using a Fuzzy inference engine. Results indicate that, our fuzzy based NNA algorithm leads 5% gain in some of systems performance metrics. This algorithm, providing a data clustering mechanism, which is very suitable for DDBS in the networks, with heavy traffic loads, and frequent data access requests. © 2008 Springer-Verlag.
CITATION STYLE
Basseda, R., Rahgozar, M., & Lucas, C. (2008). Fuzzy Neighborhood Allocation (FNA): A fuzzy approach to improve near neighborhood allocation in DDB. In Communications in Computer and Information Science (Vol. 6 CCIS, pp. 834–837). https://doi.org/10.1007/978-3-540-89985-3_114
Mendeley helps you to discover research relevant for your work.