| 引用本文： |
-
李陶深,陆宇旻,葛志辉.基于聚类的触发式网络监控模型研究[J].广西科学院学报,2009,25(4):278-281. [点击复制]
- LI Tao-shen,LU Yu-min,GE Zhi-hui.Research on the Clustering-based Triggering Network Monitoring Model[J].Journal of Guangxi Academy of Sciences,2009,25(4):278-281. [点击复制]
|
|
| 摘要: |
| 根据网络传输数据量大,实时性高的特点,提出一种基于聚类的触发式网络监控模型。该模型将系统划分为网络用户层、实时监控层、数据分析层、触发控制层、前端应用管理层等五个层次,将数据处理分为信息采集、数据初步分析、数据聚类、结论确定和响应阶段,依靠各模块实现各阶段的任务和功能。模型各部件分布式部署,可各自承担数据处理和传输存储任务,提高了整体运行效率。 |
| 关键词: 网络监控 结构模型 触发式 聚类 |
| DOI： |
| 投稿时间：2009-10-10 |
| 基金项目:广西科技创新能力与条件建设项目(桂科能07109008-006-Z),广西自然科学基金项目(桂科自0832056)资助。 |
|
| Research on the Clustering-based Triggering Network Monitoring Model |
|
LI Tao-shen, LU Yu-min, GE Zhi-hui
|
| (School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, 530004, China) |
| Abstract: |
| A clustering-based triggering network monitoring model is proposed in this paper.This model divides the system according to different levels.It uses the proxy interactive mechanism to realize the integration of the network data acquisition,storage,analysis,maintenance and network control and management. The data processing is divided into the information acquisition,data preliminary analysis,data clustering,conclusion and response.Every functional module is distributedly deployed,which can respectively process the data,transmission and storage.It raises the effectiveness of the whole system. |
| Key words: network monitoring structural model triggering clustering |
