Distributed databases principles and systems
Distributed databases principles and systems
Consensus-based partitions in the space of ordered partitions
Pattern Recognition
Determination of the problem solutions representation
on Artificial Intelligence and Information-Control systems of Robots-87
Principles of distributed database systems
Principles of distributed database systems
An inquiry into anatomy of conflicts
Information Sciences: an International Journal
A Majority consensus approach to concurrency control for multiple copy databases
ACM Transactions on Database Systems (TODS)
Distributed Systems: Concepts and Design
Distributed Systems: Concepts and Design
Efficient Dynamic Voting Algorithms
Proceedings of the Fourth International Conference on Data Engineering
Voting with Regenerable Volatile Witnesses
Proceedings of the Seventh International Conference on Data Engineering
Consensus-based Methods for Restoring Consistency of Replicated Data
Proceedings of the IIS'2000 Symposium on Intelligent Information Systems
Deriving consensus for conflict data in web-based systems
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Consensus Choice for Reconciling Social Collaborations on Semantic Wikis
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Expert Systems with Applications: An International Journal
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Replication of data is a popular and convenient form of data organization in distributed systems. Together with its advantages, data replication brings specific problems, which have to be solved by system designers. This paper deals with methods for resolving inconsistencies in data replication. The problem investigated in this work is: How to restore the data consistency if after some time of functioning their versions differ from each other on some sites of the system. We propose a solution of this problem by determining consensus of replicated data versions. We assume that there is a possibility to define a distance function between versions of replicated data, next different consensus choice functions are defined and analyzed. A numerical and practical example of applying these methods is also presented.