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Fourth IEEE International Conference on Cluster Computing (CLUSTER'02)
Scalable Cluster Administration — Chiba City I Approach and Lessons Learned
Chicago, Illinois
September 23-September 26
ISBN: 0-7695-1745-5
ASCII Text
x 
 
John-Paul Navarro, Rémy Evard, Dan Nurmi, Narayan Desai, "Scalable Cluster Administration — Chiba City I Approach and Lessons Learned," Cluster Computing, IEEE International Conference on, pp. 215, Fourth IEEE International Conference on Cluster Computing (CLUSTER'02), 2002.
 
 
BibTex
x
 
@article{ 10.1109/CLUSTR.2002.1137749,
author = {John-Paul Navarro and Rémy Evard and Dan Nurmi and Narayan Desai},
title = {Scalable Cluster Administration — Chiba City I Approach and Lessons Learned},
journal ={Cluster Computing, IEEE International Conference on},
volume = {0},
year = {2002},
isbn = {0-7695-1745-5},
pages = {215},
doi = {http://doi.ieeecomputersociety.org/10.1109/CLUSTR.2002.1137749},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Cluster Computing, IEEE International Conference on
TI - Scalable Cluster Administration — Chiba City I Approach and Lessons Learned
SN - 0-7695-1745-5
SP
EP
A1 - John-Paul Navarro,
A1 - Rémy Evard,
A1 - Dan Nurmi,
A1 - Narayan Desai,
PY - 2002
KW - null
VL - 0
JA - Cluster Computing, IEEE International Conference on
ER -
 
John-Paul Navarro, Argonne National Laboratory
Rémy Evard, Argonne National Laboratory
Dan Nurmi, Argonne National Laboratory
Narayan Desai, Argonne National Laboratory

Systems administrators of large clusters often need to perform the same administrative task hundreds or thousands of times. Administrators have traditionally performed some time-consuming tasks, such as operating system installation, configuration, and maintenance, manually. By combining network services such as DHCP, TFTP, FTP, HTTP, and NFS with remote hardware control and scripted installation, configuration, and maintenance techniques, cluster administrators can automate these administrative tasks.

Scalable cluster administration addresses this challenge: What hardware and software design techniques can cluster builders use to automate cluster administration on very large clusters? We describe the approach used in the Mathematics and Computer Science Division of Argonne National Laboratory on Chiba City I, a 314-node Linux cluster; and we analyze the scalability, flexibility, performance and reliability benefits and limitations from that approach.

Citation:
John-Paul Navarro, Rémy Evard, Dan Nurmi, Narayan Desai, "Scalable Cluster Administration — Chiba City I Approach and Lessons Learned," cluster, pp.215, Fourth IEEE International Conference on Cluster Computing (CLUSTER'02), 2002
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