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18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Workshop 14
An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications
Santa Fe, New Mexico
April 26-April 30
ISBN: 0-7695-2132-0
ASCII Text
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David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Graham R. Nudd, "An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications," Parallel and Distributed Processing Symposium, International, vol. 15, pp. 248a, 18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Workshop 14, 2004.
 
 
BibTex
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@article{ 10.1109/IPDPS.2004.1303306,
author = {David A. Bacigalupo and Stephen A. Jarvis and Ligang He and Graham R. Nudd},
title = {An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {15},
year = {2004},
isbn = {0-7695-2132-0},
pages = {248a},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2004.1303306},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications
SN - 0-7695-2132-0
SP
EP
A1 - David A. Bacigalupo,
A1 - Stephen A. Jarvis,
A1 - Ligang He,
A1 - Graham R. Nudd,
PY - 2004
KW - null
VL - 15
JA - Parallel and Distributed Processing Symposium, International
ER -
 
David A. Bacigalupo, University of Warwick
Stephen A. Jarvis, University of Warwick
Ligang He, University of Warwick
Graham R. Nudd, University of Warwick
Predictive performance models of e-Commerce applications will allow Grid workload managers to provide e-Commerce clients with qualities of service (QoS) whilst making efficient use of resources. This paper demonstrates the use of two ?coarse-grained? modelling approaches (based on layered queuing modelling and historical performance data analysis) for predicting the performance of dynamic e-Commerce systems on heterogeneous servers. Results for a popular e-Commerce benchmark show how request response times and server throughputs can be predicted on servers with heterogeneous CPUs at different background loads. The two approaches are compared and their usefulness to Grid workload management is considered.
Citation:
David A. Bacigalupo, Stephen A. Jarvis, Ligang He, Graham R. Nudd, "An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications," ipdps, vol. 15, pp.248a, 18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Workshop 14, 2004
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