Design of intelligent network performance analysis & forecast support system |
| |
Authors: | Wang Zhi Xu Ning Yin Jian-hua Cao Yang Su Yu-bei |
| |
Institution: | (1) College of Electronic Information, Wuhan University, 430072 Wuhan, China;(2) State Key Laboratory of Software Engineering, Wuhan University, 430072 Wuhan, China |
| |
Abstract: | A system designed for supporting the network performance analysis and forecast effort is presented, based on the combination
of offline network analysis and online real-time performance forecast. The off-line analysis will perform analysis of specific
network node performance, correlation analysis of relative network nodes performance and evolutionary mathematical modeling
of long-term network performance measurements. The online real-time network performance forecast will be based on one so-called
hybrid prediction modeling approach for short-term network, performance prediction and trend analysis. Based on the module
design, the system proposed has good intelligence, scalability and self-adaptability, which will offer highly effective network
performance analysis and forecast tools for network managers, and is one ideal support platform for network performance analysis
and forecast effort.
Foundation item: Supported by the National 863 High-Tech Project (863-300-02-09-99) and Key Research Project of Hubei Province
(991P110)
Biography: Wang Zhi(1977-), male, Master candidate, research direction, intelligent network management and performance evaluation. |
| |
Keywords: | network performance analysis real-time forecast evolutionary modeling hybrid prediction modeling |
本文献已被 SpringerLink 等数据库收录! |
|