Date of Award
Master of Science
Dr. Dalia Motzkin
Dr. Dionysios Kountanis
Dr. Mark Kerstetter
Masters Thesis-Open Access
This thesis presents a strategy for the fragmentation and allocation of data in a distributed relational database. The strategy introduces a way to fragment and allocate data to accomplish the benefits of allocating each fragment independently for each site. Some fragments may be allocated to multiple sites in order to achieve some constraints such as availability, consistency, and integrity. The strategy is appropriate for different types of computers at various sites connected to a network, with different costs of retrieval, update, and communication.
To increase the system 1/0 performance, sites having similar communication costs are grouped into clusters to which fragments would allocated. The strategy describes a data allocation techniques based on a heuristic algorithm which uses the allocation benefit as a difference between cost of not allocating data to clusters and sites, and the cost of allocating data to the same clusters and sites. The proposed overall strategy presents near optimal data allocation in the system and is determined in polynomial time.
Hababeh, Ismail Omar, "A Strategy for Distributed Relational Database Design" (1996). Master's Theses. 4243.