Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
´ë±Ô¸ð RDF µ¥ÀÌÅÍÀÇ ºÐ»ê ÀúÀåÀ» À§ÇÑ µ¿Àû ºÐÇÒ ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
A Dynamic Partitioning Scheme for Distributed Storage of Large-Scale RDF Data |
ÀúÀÚ(Author) |
±èõÁß
±è±â¿¬
À±Á¾Çö
ÀÓÁ¾ÅÂ
º¹°æ¼ö
À¯Àç¼ö
Cheon Jung Kim
Ki Yeon Kim
Jong Hyeon Yoon
Jong Tae Lim
Kyoung Soo Bok
Jae Soo Yoo
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¿ø¹®¼ö·Ïó(Citation) |
VOL 41 NO. 12 PP. 1126 ~ 1135 (2014. 12) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
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.
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Å°¿öµå(Keyword) |
RDF
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ºÎÇÏ ºÐ»ê
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