A resource allocating neural network based approach for detecting end-to-end network performance anomaly

	A resource allocating neural network based approach for detecting end-to-end network performance anomaly
	Li, Wenwei ; Zhang, Dafang ; Yang, Jinmin ; Xie, Gaogang ; Wang, Lei
	2006
发表期刊	ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS
ISSN	0302-9743
卷号	3973 页码:184-189
摘要	Automatic detection of end-to-end network performance anomalies is important to efficient network management and optimization. We present an end-to-end network performance anomalies detection method, based on characterizing of the dynamic statistical properties of RTT normality. The experiment on real Internet end-to-end path RTT data shows that, the proposed method is accurate in detecting performance anomalies, it can successfully detect about 96.25% anomalies in the experiment.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000239485300027
出版者	SPRINGER-VERLAG BERLIN
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10523
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, Wenwei
作者单位	1.Hunan Univ, Coll Comp & Commun, Changsha 410082, Peoples R China 2.Hunan Univ, Sch Software, Changsha 410082, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Li, Wenwei,Zhang, Dafang,Yang, Jinmin,et al. A resource allocating neural network based approach for detecting end-to-end network performance anomaly[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS,2006,3973:184-189.
APA	Li, Wenwei,Zhang, Dafang,Yang, Jinmin,Xie, Gaogang,&Wang, Lei.(2006).A resource allocating neural network based approach for detecting end-to-end network performance anomaly.ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS,3973,184-189.
MLA	Li, Wenwei,et al."A resource allocating neural network based approach for detecting end-to-end network performance anomaly".ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS 3973(2006):184-189.