AUTHOR(S): Ali A. Amer, Adel A. Sewisy
|
TITLE |
KEYWORDS Horizontal; Partitioning; Allocation; Replication; Site Clustering; DDBS; Optimization |
ABSTRACT In this work, an extended heuristic horizontal partitioning, and data allocation approach is critically evolved. As a matter of fact, the key focus behind this work is to introduce an efficient best-fitting solution in purpose of boosting DDBS rendering through presenting an intelligent data partitioning and allocation approach. However, as partitioning technique is already developed, this work aims at extending this technique by having it skilfully integrated with hierarchically-inspired site clustering algorithm and mathematical model for data allocation, including data replication, for the sake of producing an effective approach. Consequently, this approach is set to be promising and capable of tremendously lessening the overall cost of data transmission (TC). It is believed that such significant extension is to overwhelmingly be a potential progress of profoundly beneficial effects on overall DDBS performance |
Cite this paper Ali A. Amer, Adel A. Sewisy. (2017) An Extended Approach for Synchronized Data Partitioning and Distribution in Distributed Database Systems (DDBSs). International Journal of Economics and Management Systems, 2, 161-170 |