Load balance for semantic cluster-based data integration systems

Abstract

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.