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

Author

Xiong, Muzhou ; Jin, Hai ; Wu, Song

Author_Institution

Cluster & Grid Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan

fYear

2006

fDate

Oct. 2006

Firstpage

71

Lastpage

77

Abstract

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

Keywords

meta data; query processing; very large databases; FDSSS scheme; information lifecycle management systems; large scale data environment; metadata management; metadata query; metadata search; storage system; Costs; Databases; Delay; Environmental management; File systems; Grid computing; Information management; Large-scale systems; Monitoring; Resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Grid and Cooperative Computing Workshops, 2006. GCCW '06. Fifth International Conference on

Conference_Location

Hunan

Print_ISBN

0-7695-2695-0

Type

conf

DOI

10.1109/GCCW.2006.39

Filename

4031532