Title :
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
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;
Conference_Titel :
Grid and Cooperative Computing Workshops, 2006. GCCW '06. Fifth International Conference on
Conference_Location :
Hunan
Print_ISBN :
0-7695-2695-0
DOI :
10.1109/GCCW.2006.39
