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13th IEEE International Symposium on High Performance Distributed Computing (HPDC-13 '04)
Automated Cluster-Based Web Service Performance Tuning
Honolulu, Hawaii USA
June 04-June 06
ISBN: 0-7803-2175-4
ASCII Text
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I-Hsin Chung, Jeffrey K. Hollingsworth, "Automated Cluster-Based Web Service Performance Tuning," High-Performance Distributed Computing, International Symposium on, pp. 36-44, 13th IEEE International Symposium on High Performance Distributed Computing (HPDC-13 '04), 2004.
 
 
BibTex
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@article{ 10.1109/HPDC.2004.4,
author = {I-Hsin Chung and Jeffrey K. Hollingsworth},
title = {Automated Cluster-Based Web Service Performance Tuning},
journal ={High-Performance Distributed Computing, International Symposium on},
volume = {0},
year = {2004},
issn = {1082-8907},
pages = {36-44},
doi = {http://doi.ieeecomputersociety.org/10.1109/HPDC.2004.4},
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 - Automated Cluster-Based Web Service Performance Tuning
SN - 1082-8907
SP36
EP44
A1 - I-Hsin Chung,
A1 - Jeffrey K. Hollingsworth,
PY - 2004
KW - null
VL - 0
JA - High-Performance Distributed Computing, International Symposium on
ER -
 
I-Hsin Chung, University of Maryland, College Park
Jeffrey K. Hollingsworth, University of Maryland, College Park
Active Harmony provides a way to automate performance tuning. In this paper, we apply the Active Harmony system to improve the performance of a cluster-based web service system. The performance improvement cannot easily be achieved by tuning individual components for such a system. The experimental results show that there is no single configuration for the system that performs well for all kinds of workloads. By tuning the parameters, Active Harmony helps the system adapt to different workloads and improve the performance up to 16%. For scalability, we demonstrate how to reduce the time when tuning a large system with many tunable parameters. Finally an algorithm is proposed to automatically adjust the structure of cluster-based web systems, and the system throughput is improved up to 70% using this technique.
Citation:
I-Hsin Chung, Jeffrey K. Hollingsworth, "Automated Cluster-Based Web Service Performance Tuning," hpdc, pp.36-44, 13th IEEE International Symposium on High Performance Distributed Computing (HPDC-13 '04), 2004
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