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19th IEEE International Conference on Distributed Computing Systems (ICDCS'99)
The Swarm Scalable Storage System
Austin, Texas
May 31-June 04
ISBN: 0-7695-0222-9
ASCII Text
x 
 
John H. Hartman, Ian Murdock, Tammo Spalink, "The Swarm Scalable Storage System," Distributed Computing Systems, International Conference on, pp. 0074, 19th IEEE International Conference on Distributed Computing Systems (ICDCS'99), 1999.
 
 
BibTex
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@article{ 10.1109/ICDCS.1999.776508,
author = {John H. Hartman and Ian Murdock and Tammo Spalink},
title = {The Swarm Scalable Storage System},
journal ={Distributed Computing Systems, International Conference on},
volume = {0},
year = {1999},
isbn = {0-7695-0222-9},
pages = {0074},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDCS.1999.776508},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Distributed Computing Systems, International Conference on
TI - The Swarm Scalable Storage System
SN - 0-7695-0222-9
SP
EP
A1 - John H. Hartman,
A1 - Ian Murdock,
A1 - Tammo Spalink,
PY - 1999
VL - 0
JA - Distributed Computing Systems, International Conference on
ER -
 
John H. Hartman, The University of Arizona
Ian Murdock, The University of Arizona
Tammo Spalink, The University of Arizona
Swarm is a storage system that provides scalable, reliable, and cost-effective data storage. Swarm is based on storage servers, rather than file servers; the storage servers are optimized for cost-performance and aggregated to provide high-performance data access. Swarm uses a striped log abstraction to store data on the storage servers.This abstraction simplifies storage allocation, improves file access performance, balances server loads, provides fault-tolerance through computed redundancy, and simplifies crash recovery. We have developed a Swarm prototype using a cluster of Linux-based personal computers as the storage servers and clients; the clients access the servers via the Swarm-based Sting file system. Our performance measurements show that a single Swarm client can write to two storage servers at 3.0 MB/s., while four clients can write to eight servers at 16.0 MB/s.
Citation:
John H. Hartman, Ian Murdock, Tammo Spalink, "The Swarm Scalable Storage System," icdcs, pp.0074, 19th IEEE International Conference on Distributed Computing Systems (ICDCS'99), 1999
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