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International Conference on Software Engineering Advances (ICSEA'06)
Data Based Application Partitioning and Workload Balance in Distributed Environment
Tahiti, French Polynesia
October 29-November 03
ISBN: 0-7695-2703-5
ASCII Text
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Xiaohu Yang, Ming Mao, Xinyu Wang, "Data Based Application Partitioning and Workload Balance in Distributed Environment," Software Engineering Advances, International Conference on, pp. 43, International Conference on Software Engineering Advances (ICSEA'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICSEA.2006.29,
author = {Xiaohu Yang and Ming Mao and Xinyu Wang},
title = {Data Based Application Partitioning and Workload Balance in Distributed Environment},
journal ={Software Engineering Advances, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2703-5},
pages = {43},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICSEA.2006.29},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering Advances, International Conference on
TI - Data Based Application Partitioning and Workload Balance in Distributed Environment
SN - 0-7695-2703-5
SP
EP
A1 - Xiaohu Yang,
A1 - Ming Mao,
A1 - Xinyu Wang,
PY - 2006
KW - data partition; workload balance; distributed environment; symmetric cluster; asymmetric cluster
VL - 0
JA - Software Engineering Advances, International Conference on
ER -
 
Xiaohu Yang, Zhejiang University, China
Ming Mao, Zhejiang University, China
Xinyu Wang, Zhejiang University, China
Many application partitioning methods have been proposed based on different functional modules in distributed environment to gain efficient use of resources, improved performance and high scalability. This paper introduces popular application partitioning architectures, and presents a different partitioning method and an on-line workload balance algorithm from a new perspective: runtime data, called data based application partitioning. This architecture benefits applications with higher performance, scalability and dynamic workload balancing. A financial trading system reengineered from J2EE standalone environment into data partitioning distributed environment gives a nice proof.
Index Terms:
data partition; workload balance; distributed environment; symmetric cluster; asymmetric cluster
Citation:
Xiaohu Yang, Ming Mao, Xinyu Wang, "Data Based Application Partitioning and Workload Balance in Distributed Environment," icsea, pp.43, International Conference on Software Engineering Advances (ICSEA'06), 2006
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