TY  - JOUR
T1  - A Dynamic Partitioning Scheme for Distributed Storage of Large-Scale RDF Data
AU  - Kim, Cheon Jung 
AU  - Kim, Ki Yeon 
AU  - Yoon, Jong Hyeon 
AU  - Lim, Jong Tae 
AU  - Bok, Kyoung Soo 
AU  - Yoo, Jae Soo 
JO  - Journal of KIISE, JOK
PY  - 2014
DA  - 2014/9/14
DO  - 
KW  - dynamic partitioning
KW  - large-scale RDF data
KW  - load balancing
AB  - In recent years, RDF partitioning schemes have been studied for the effective distributed storage and management of large-scale RDF data. In this paper, we propose an RDF dynamic partitioning scheme to support load balancing in dynamic environments where the RDF data is continuously inserted and updated. The proposed scheme creates clusters and sub-clusters according to the frequency of the RDF data used by queries to set graph partitioning criteria. We partition the created clusters and sub-clusters by considering the workloads and data sizes for the servers. Therefore, we resolve the data concentration of a specific server, resulting from the continuous insertion and update of the RDF data, in such a way that the load is distributed among servers in dynamic environments. It is shown through performance evaluation that the proposed scheme significantly improves the query processing time over the existing scheme.