Distributed databases principles and systems
Distributed databases principles and systems
Principles of artificial intelligence
Principles of artificial intelligence
Data allocation in distributed database systems
ACM Transactions on Database Systems (TODS)
Fundamentals of database systems
Fundamentals of database systems
Vertical partitioning for database design: a graphical algorithm
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
An Effective Approach to Vertical Partitioning for Physical Design of Relational Databases
IEEE Transactions on Software Engineering
Optimal Semijoins for Distributed Database Systems
IEEE Transactions on Software Engineering
Principles of distributed database systems
Principles of distributed database systems
Design of Database Structures
Logic and Data Bases
Distributing a database for parallelism
SIGMOD '83 Proceedings of the 1983 ACM SIGMOD international conference on Management of data
An extension of a first-order language and its applications (many-sorted logic, distributed database design, resolution, automatic theorem proving, horizontal partitioning)
Horizontal decompositions and their impact on query solving
ACM SIGMOD Record
GeMDA: A Multidimensional Data Partitioning Technique for Multiprocessor Database Systems
Distributed and Parallel Databases
Information Systems
Allocating Fragments in Distributed Databases
IEEE Transactions on Parallel and Distributed Systems
A heuristic approach to cost-efficient derived horizontal fragmentation of complex value databases
ADC '07 Proceedings of the eighteenth conference on Australasian database - Volume 63
Distributing Multimedia Content to Balance Quality of Service and Cost
Journal of Management Information Systems
An Approach to Distribution of Object-Oriented Applications in Loosely Coupled Networks
Journal of Management Information Systems
DYFRAM: dynamic fragmentation and replica management in distributed database systems
Distributed and Parallel Databases
A systematic approach to the integration of overlapping partitions in service-oriented data grids
Future Generation Computer Systems
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In distributed DBMSs, one major issue in developing a horizontal fragmentation technique is what criteria to use to guide the fragmentation. The authors propose to use, in addition to typical user queries, particular knowledge about the data itself. Use of this knowledge allows revision of typical user queries into more precise forms. The revised query expressions produce better estimations of user reference clusters to the database than the original query expressions. The estimated user reference clusters form a basis to partition relations horizontally. In the proposed approach, an ordinary many-sorted language is extended to represent the queries and knowledge compatibly. This knowledge is identified in terms of five axiom schemata. An inference procedure is developed to apply the knowledge to the queries deductively.