Incremental data allocation and reallocation in distributed database systems
Data warehousing and web engineering
Advanced topics in database research vol. 1
Allocating Fragments in Distributed Databases
IEEE Transactions on Parallel and Distributed Systems
A heuristic approach to cost-efficient fragmentation and allocation of complex value databases
ADC '06 Proceedings of the 17th Australasian Database Conference - Volume 49
A high-performance computing method for data allocation in distributed database systems
The Journal of Supercomputing
DYFRAM: dynamic fragmentation and replica management in distributed database systems
Distributed and Parallel Databases
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Performance optimality enhancement algorithm in DDBS (POEA)
Computers in Human Behavior
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Distributed database design requires decisions on closely related issues such as fragmentation, allocation, degree of replication, concurrency control, and query processing. We develop an integrated methodology for fragmentation and allocation that is simple and practical and can be applied to real-life problems. The methodology also incorporates replication and concurrency control costs. At the same time, it is theoretically sound and comprehensive enough to achieve the objectives of efficiency and effectiveness. It distributes data across multiple sites such that design objectives in terms of response time and availability for transactions, and constraints on storage space, are adequately addressed. This methodology has been used successfully in designing a distributed database system for a large geographically distributed organization