Distributed databases principles and systems
Distributed databases principles and systems
Data allocation in distributed database systems
ACM Transactions on Database Systems (TODS)
Relational databases: concepts, designs, and administration
Relational databases: concepts, designs, and administration
The design of relational databases
The design of relational databases
Database systems: design, implementation and management
Database systems: design, implementation and management
Relational database design: a practitioner's guide
Relational database design: a practitioner's guide
Allocating data files over a wide area network: goal setting and compromise design
Information and Management
An algorithm for dynamic data allocation in distributed systems
Information Processing Letters
Allocating Data and Operations to Nodes in Distributed Database Design
IEEE Transactions on Knowledge and Data Engineering
Incremental data allocation and reallocation in distributed database systems
Data warehousing and web engineering
Advanced topics in database research vol. 1
A high-performance computing method for data allocation in distributed database systems
The Journal of Supercomputing
Performance optimality enhancement algorithm in DDBS (POEA)
Computers in Human Behavior
A synchronized design technique for efficient data distribution
Computers in Human Behavior
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The allocation of data to nodes in a computer communications networkis a critical issue in distributed database design, specially in wide areanetwork where optimizing the distributed queries is the main objective. Numerous models of data allocation have been presented so far (Ceri and Pelagatti, 1986; Lee et al., 1994; Apers, 1988; Mahmood et al., 1994; Theel, 1994; Saha andMukherjee, 1994; Walfson and Jajodia, 1995), butno optimal or universally accepted algorithm exists yet, and very few algorithms havebeen implemented to date (Rob and Cornonel, 1993). In this paper a method toconstruct a model of data allocation for distributed database system has beenproposed. The adopted method for the construction of the data allocation model leadsto an efficient model of its kind. The proposed model not only solves distributeddatabase design problem, but also solves distributed database maintenance problem bycovering initial allocation and post allocation of the data. The efficiency ofproposed model has been proved by comparing proposed model with other relevant models.