FDSSS: An Efficient Metadata Management Scheme in Large Scale Data Environment

摘要：

The performance of metadata query and search largely affects the storage system efficiency, especially in information lifecycle management (ILM) systems. In this paper we present FDSSS, a metadata management scheme, to optimize the metadata query and search performance, which stores key attributes of metadata in the main memory and organizes them as a tree-like structure. Through performance evaluation in large data scale (about 224 metadata items) environment,FDSSS improves the query and search performance than traditional metadata management which using database to store all the metadata items.

作者: Muzhou Xiong Hai Jin Song Wu

作者单位: Cluster and Grid Computing Lab.Huazhong University of Science and Technology, Wuhan, 430074, China

会议类型: 国际会议

会议名称: 第五届网格与协同计算国际会议(The Fifth International Conference on Grid and Cooperative Computing GCC 2006)

会议地点: 长沙

会议语种:英文

页码: 71-77

在线出版日期: 2006-10-21（万方平台首次上网日期，不代表论文的发表时间）