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12th IEEE International Symposium on High Performance Distributed Computing (HPDC-12 '03)
Pipeline and Batch Sharing in Grid Workloads
Seattle, Washington
June 22-June 24
ISBN: 0-7695-1965-2
ASCII Text
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Douglas Thain, John Bent, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Miron Livny, "Pipeline and Batch Sharing in Grid Workloads," High-Performance Distributed Computing, International Symposium on, pp. 152, 12th IEEE International Symposium on High Performance Distributed Computing (HPDC-12 '03), 2003.
 
 
BibTex
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@article{ 10.1109/HPDC.2003.1210025,
author = {Douglas Thain and John Bent and Andrea C. Arpaci-Dusseau and Remzi H. Arpaci-Dusseau and Miron Livny},
title = {Pipeline and Batch Sharing in Grid Workloads},
journal ={High-Performance Distributed Computing, International Symposium on},
volume = {0},
year = {2003},
issn = {1082-8907},
pages = {152},
doi = {http://doi.ieeecomputersociety.org/10.1109/HPDC.2003.1210025},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - High-Performance Distributed Computing, International Symposium on
TI - Pipeline and Batch Sharing in Grid Workloads
SN - 1082-8907
SP
EP
A1 - Douglas Thain,
A1 - John Bent,
A1 - Andrea C. Arpaci-Dusseau,
A1 - Remzi H. Arpaci-Dusseau,
A1 - Miron Livny,
PY - 2003
KW - null
VL - 0
JA - High-Performance Distributed Computing, International Symposium on
ER -
 
Douglas Thain, University of Wisconsin
John Bent, University of Wisconsin
Andrea C. Arpaci-Dusseau, University of Wisconsin
Remzi H. Arpaci-Dusseau, University of Wisconsin
Miron Livny, University of Wisconsin
We present a study of six batch-pipelined scientific workloads that are candidates for execution on computational grids. Whereas other studies focus on the behavior of single applications, this study characterizes workloads composed of pipelines of sequential processes that use file storage for communication and also share significant data across a batch. This study includes measurements of the memory, CPU, and I/O requirements of individual components as well as analyses of I/O sharing within complete batches. We conclude with a discussion of the ramifications of these workloads for end-to-end scalability and overall system design.
Citation:
Douglas Thain, John Bent, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Miron Livny, "Pipeline and Batch Sharing in Grid Workloads," hpdc, pp.152, 12th IEEE International Symposium on High Performance Distributed Computing (HPDC-12 '03), 2003
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