A Study on Multi-Attribute Database Indexing on Cloud Systems

被引:0
|
作者
Lo, Yu-Lung [1 ]
Tang, Choon-Yong [1 ]
机构
[1] Chaoyang Univ Technol, Dept Informat Management, Taichung 41349, Taiwan
关键词
Cloud computing; multi-attribute index; R-tree; k-d tree; BINARY SEARCH TREES;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recent years, the Cloud computing technologies have become more and more important for many existing database applications. The Cloud platform provides an ease to use interface between providers and users, allow providers to develop and provide software and databases for users over locations. Currently, there are many Cloud platform providers support large-scale database services. However, most of these Cloud platform architectures only support simple keyword based queries and can't response complex query efficiently due to lack of efficient in multi-attribute index techniques. Existing Cloud platform providers seek to improve performance of indexing techniques for complex queries. In this paper, we evaluate the existing multi-attribute indexing structures for Cloud platform. We conclude our experimental results to suggest the more efficient and scalable multi-attribute index structure for Cloud platform.
引用
收藏
页码:299 / 304
页数:6
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