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A Model of Scalable Distributed Network Performance Management
Hong Kong, SAR, China May 10-May 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISPAN.2004.13005452004 International Symposium on Paral ...
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Zeng Bin, Hu Tao, Wang Wei, Li ZiTan, "A Model of Scalable Distributed Network Performance Management," Parallel Architectures, Algorithms, and Networks, International Symposium on, pp. 607, 2004 International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN'04), 2004.
 
 
BibTex
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@article{ 10.1109/ISPAN.2004.1300545,
author = {Zeng Bin and Hu Tao and Wang Wei and Li ZiTan},
title = {A Model of Scalable Distributed Network Performance Management},
journal ={Parallel Architectures, Algorithms, and Networks, International Symposium on},
volume = {0},
year = {2004},
issn = {1087-4089},
pages = {607},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISPAN.2004.1300545},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel Architectures, Algorithms, and Networks, International Symposium on
TI - A Model of Scalable Distributed Network Performance Management
SN - 1087-4089
SP
EP
A1 - Zeng Bin,
A1 - Hu Tao,
A1 - Wang Wei,
A1 - Li ZiTan,
PY - 2004
KW - null
VL - 0
JA - Parallel Architectures, Algorithms, and Networks, International Symposium on
ER -
 
Zeng Bin, University of Naval Engineering, Wuhan, China
Hu Tao, University of Naval Engineering, Wuhan, China
Wang Wei, University of Naval Engineering, Wuhan, China
Li ZiTan, Huazhong University of S.T, Wuhan, China
Quality of service in IP networks necessitates the use of performance management. As Internet continues to grow exponentially, a management system should be scalable in terms of network size, speed and number of customers subscribed to value-added services. This article proposes a flexible, scalable, self-adapting model for managing large-scale distributed network. In this model web services framework is used to build the software architecture and XML is used to build the data exchange interface. Policy-based hierarchical event-processing mechanism presented by this paper can efficiently balance the loads and improve the flexibility of the system. The prediction algorithm adopted by this model can predict the network performance more effectively and accurately.
Citation:
Zeng Bin, Hu Tao, Wang Wei, Li ZiTan, "A Model of Scalable Distributed Network Performance Management," ispan, pp.607, 2004 International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN'04), 2004
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