Title :
SOSS: smart object-based storage system
Author :
Zeng, Ling-Fang ; Feng, Dan ; Qin, Ling-jun
Author_Institution :
Sch. of Comput., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Hints for storage system come from three aspects: the first is in combination with accurate file or directory attribute layout. The second is from existing file system and depends on user input. The third is from file content analysis. However in the SOSS (smart object-based storage system), object, a new fundamental storage component different from traditional storage unit (file or block), is introduced, and object provides ample hints for storage system, which can help with designing more intelligent (or smarter) storage system. This paper gives a brief introduction about SOSS, and some methods adopted in SOSS to achieve intelligence, such as pattern recognition method, predicting object properties method and an adaptive cache replacement policy (all are based on object attribute), are studied.
Keywords :
cache storage; deductive databases; pattern recognition; adaptive cache replacement policy; directory attribute layout; file attribute layout; file content analysis; file system; fundamental storage component; intelligent storage system; object property prediction; pattern recognition method; smart object based storage system; Cache storage; Computer science education; Data storage systems; Educational technology; Fabrics; File systems; Intelligent networks; Laboratories; Pattern recognition; Storage automation;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1379836