DocumentCode
443993
Title
Research and design of a self-managing storage cluster
Author
Jiguang, Wan ; Xiaoming, Dong ; Ling, Zhan
Author_Institution
Key Lab. of Data Storage Syst., Huazhong Univ. of Sci. & Technol., Hubei, China
Volume
1
fYear
2005
fDate
25-27 July 2005
Firstpage
266
Abstract
As a result of the Internet´s rapid growth, there has been a huge increase in the amount of information generated and shared by people all over the world. Demand for large-scale storage system is growing rapidly. Instead of disk arrays, decentralized storage systems that consist of a cluster of nodes with locally attached disks have become a cost effective solution. This paper describes the design and implementation of SMSC (self-managing storage cluster) - a self-managing high-performance PC-based cluster storage system. SMSC virtualizes distributed storage devices as incrementally expandable volumes and automatically manages storage node additions and failures. The cache algorithm aims at multimedia data, which greatly improves the performance of sequential read, which is especially suitable for multimedia applications. This paper presents experimental results to demonstrate features and performance of SMSC using benchmarks.
Keywords
network operating systems; storage management; workstation clusters; Internet; benchmarking; cache algorithm; distributed storage device; high-performance PC-based cluster storage system; large-scale storage system; multimedia data; self-managing storage cluster design; storage management; Computer architecture; Computer networks; Costs; File systems; Internet; Large-scale systems; Network servers; Peer to peer computing; Prototypes; Storage automation; Cluster; Distributed storage system; File system; SMSC; Self-Managing;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2005 IEEE International Conference on
Print_ISBN
0-7803-9017-2
Type
conf
DOI
10.1109/GRC.2005.1547282
Filename
1547282
Link To Document