Performance Evaluation of Local Area Network based on Support Vector Machine
Qi Liu, Yin Liu, Yiyong Lin, Ling He, Yunzhi Huang
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.384How to use a DOI?
- IP performance evaluation; support vector machine; k-fold cross validation; local area network
- This work presents an IP performance evaluation method, based on the Support Vector Machine (SVM). In this work, eight network parameters are collected: CPU utilization of switchboard, utilization of memory, network link-off, delay, delay jitter, bandwidth, bit rate of transmission and bit rate of reception. The performance of the local area network is classified into three grades: excellent, good and failed. In this work, the collected network parameters are processed using SVM classifier. The average classification accuracy is achieved using k-fold cross validation method. The experiment results indicate that the classification accuracy of the proposed method is over 90%. This proposed evaluation system could be applied to a real-time network performance evaluation application effectively.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qi Liu AU - Yin Liu AU - Yiyong Lin AU - Ling He AU - Yunzhi Huang PY - 2016/03 DA - 2016/03 TI - Performance Evaluation of Local Area Network based on Support Vector Machine BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 1927 EP - 1930 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.384 DO - https://doi.org/10.2991/icmmct-16.2016.384 ID - Liu2016/03 ER -