Network Health Evaluation Based on SVM and Cloud Model

doi:10.13190/jbupt.201201.10.wenxx

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (1): 10-14.doi: 10.13190/jbupt.201201.10.wenxx

• Papers • Previous Articles Next Articles

Network Health Evaluation Based on SVM and Cloud Model

WEN Xiang-xi, MENG Xiang-ru

Institute of Telecommunication Engineering, Air Force Engineering University, Xian 710077, China

Received:2011-04-12 Revised:2011-08-28 Online:2012-02-28 Published:2012-01-05
Contact: Xiang-Xi Wen E-mail:wxxajy@163.com

Abstract

Abstract:

The geometrical meaning of support vector machine（SVM）is analyzed. Integrated with the definition of health evaluation a method of network health evaluation based on SVM is introduced and translated into a classifying problem. The distance between the sample and health hyperplane is proposed to be the evaluation parameter. The health from the whole entity is evaluated and the subjective factor influences are reduced. The cloud model is used to realize the uncertained map between health degree and comment. The network simulation based on opnet shows feasibilities of this method.

Key words:

network health evaluation, support vector machine, cloud model, network simulation

CLC Number:

TP393

Xiang-Xi Wen Xiang-Ru Meng.

Network Health Evaluation Based on SVM and Cloud Model

[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(1): 10-14.

References

［1］Pranggono B, Elmirghani J Performance evaluation of survivable WDM based SANs in a metro ring network［J］. Optik International Journal for Light and Electron Optics. (2011), doi:10.1016/j.ijleo. 2011.03.033．［2］Xi Zhenyuan, Chen He, Wang Xiangzhong, et al. Evaluation model for computer network information security based on analytic hierarchy process［C］∥IITA 2009. Nanchang China：IEEE Press, 2009：186-189. ［3］罗枫,宋梅, 任志军. 移动网管中多指标综合评估研究［J］. 北京邮电大学学报, 2004, 27(4)：97-101. Luo Feng, Song Mei, Ren Zhijun. An improved evaluation method in mobile network management system［J］. Journal of Beijing University of Posts and Telecommunication, 2004, 27(4)：97-101. ［4］张靖.模糊综合评判的校园网性能评价研究［J］. 电子科技大学学报, 2009, 38(6)：998-1000. Zhang Jing. Campus network performance assessment based on the fuzzy comprehensive evaluation［J］. Journal of University of Electronic science and Technology of China, 2009, 38(6)： 998-1000. ［5］罗赟骞,夏靖波, 陈天平. 基于云模型和熵权的网络性能综合评估模型［J］. 重庆邮电大学学报：自然科学版, 2009, 21(6)：771-775. Luo Yunqian, Xia Jingbo, Chen Tianping. Network performance comprehensive evaluation model based on cloud model and entropy weight［J］. Journal of Chongqing University of Posts and Telecommunications：Natural Science Edition, 2009, 21(6)：771-775. ［6］徐海东,李治文, 江峰. 基于神经网络的UTRAN网络质量综合评价［J］. 北京邮电大学学报, 2005, 28(4)：41-44. Xu Haidong, Li Zhiwen, Jiang Feng. 3G UTRAN quality evaluation based on neural network ［J］. Journal of Beijing University of Posts and Telecommunication, 2005, 28(4)：41-44. ［7］于艳华,宋梅, 潘阳发, 等. 改进的基于支持向量机的网络综合评价策略［J］. 北京邮电大学学报, 2007, 30(6)：85-88. Yu Yanhua, Song Mei, Pan Yangfa, et al. An improved network performance evaluation method based on support vector machines［J］. Journal of Beijing University of Posts and Telecommunication, 2007, 30(6)：85-88. ［8］Vapnik V, Statistical learning theory［M］. New York：Wiley, 1998. ［9］李德毅,刘常昱, 杜鷁, 等. 不确定性人工智能［J］. 软件学报, 2004, 15(11)：1583-1594. Li Deyi, Liu Changyu, Du Yi, et al. Artificial intelligence with uncertainty［J］. Journal of Software, 2004, 15(11)：1583-1594. ［10］李德毅，刘常昱. 论正太云的普适性［J］. 中国工程科学, 2004, 6(8)：28-34. Li Deyi, Liu Changyu. Study on the universality of the normal cloud model［J］. Engineering Science, 2004, 6(8)：

[1]	TIAN Zhongda, PAN Xinpeng. Network Traffic Prediction Using Wavelet Denoising and Optimized Support Vector Machine [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(5): 79-84.
[2]	ZHAO Xiong-wen, SUN Ning-yao, GENG Sui-yan, ZHANG Yu, DU Fei. Time-Varying Channel Modeling Using Least Square Support Vector Machine [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(5): 29-35.
[3]	WEI Juan, ZHANG Peng-nan, YUE Feng-li, NING Fang-li. Recognition and Application of Abnormal Sound Via SVM Based on PSO-PF [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(3): 58-63.
[4]	WU Qing, QI Shao-wei, SUN Kai-yue, ZANG Bo-yan, ZHAO Xiang. Least Squares Large Margin Twin Support Vector Machine [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(6): 34-38.
[5]	CHAO Hao, LU Bao-yun, LIU Yong-li, LIU Zhi-zhong, SONG Cheng. Vocal Effort Detection Based on Spectral Information Entropy and Complementary Models [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(2): 56-61.
[6]	TAN Yong-mei, WANG Min-da, NIU Shao-zhang. Chinese Textual Entailment Recognition Via Ordered Word Mover Distance [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(5): 123-128.
[7]	LIU Chun-hong, HAN Jin-jin, SHANG Yan-lei. Predicting Job Failure in Cloud Cluster: Based on SVM Classification [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(5): 104-109.
[8]	JIANG Xiao-qing, XIA Ke-wen, XIA Xin-yuan, ZU Bao-kai. Speech Emotion Recognition Using Semi-Definite Programming Multiple-Kernel SVM [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(s1): 67-71.
[9]	CHEN Ming, WANG Shu-peng, YUN Xiao-chun, WU Guang-jun. Duplicate Image Detection Based on Two-Dimensional Cloud Model Filter [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(s1): 60-65.
[10]	DONG Hang, LI Qi, DONG Feng, PENG Yong, XU Guo-ai. A Detection Model of Malware Behaviors on Android [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(3): 58-61,88.
[11]	ZHANG Su-xiang. Business Intelligence in the Smart Community [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(5): 94-97.
[12]	. GA-LSSVM Offline Learning in Cognitive Radios [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(2): 90-93.
[13]	. A Steganalysis Algorithm on MB Steganography [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(2): 99-103.
[14]	. Boundary Deflection Overlay Incremental Support Vector Machine [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2010, 33(4): 30-34.
[15]	DING Xiao-jian, ZHAO Yin-liang. Theory and Analysis of DoubleMargin SVM [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2010, 33(2): 20-23.

Network Health Evaluation Based on SVM and Cloud Model

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments