Data integration: the teenage years
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Just-in-time query retrieval over partially indexed data on structured P2P overlays
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A novel load balancing mechanism for P2P networking
Proceedings of the first international conference on Networks for grid applications
Load Balancing in a Cluster-Based P2P System
BCI '09 Proceedings of the 2009 Fourth Balkan Conference in Informatics
The ESTEEM platform: enabling P2P semantic collaboration through emerging collective knowledge
Journal of Intelligent Information Systems
Minimal data sets vs. synchronized data copies in a schema and data versioning system
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Towards a theory of refinement for data migration
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Periodic hierarchical load balancing for large supercomputers
International Journal of High Performance Computing Applications
Billion-particle SIMD-friendly two-point correlation on large-scale HPC cluster systems
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Ontology-Based Clustering in a Peer Data Management System
International Journal of Distributed Systems and Technologies
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Data integration systems based on Peer-to-Peer environments have been developed to integrate dynamic, autonomous and heterogeneous data sources on the Web. Some of these systems adopt semantic approaches for clustering their data sources, reducing the search space. However, the clusters may become overloaded and traditional strategies of load balance are not suitable to semantic clusters. In this paper, we discuss limitations of load balance strategies in semantic clusters. In addition, we propose a solution for this load balance and we present some experimental results.