{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:43:23Z","timestamp":1777704203979,"version":"3.51.4"},"reference-count":20,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T00:00:00Z","timestamp":1528934400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,10]]},"abstract":"<jats:p>With the continuous development of modern network, because of the increasing prominent and correlation of the huge network system, the original source independent network system has been difficult to meet the needs of the development of modern network. Therefore, we need to add the correlation between each ON\/OFF source in the classical ON\/OFF model based on the time series. On the basis of theoretical analysis and simulation experiment, the new C-ON\/OFF model was formed after the improvement of ON\/OFF model. Through quantitative analysis, the two parameters of and with the physical meaning in the model were discussed, and the relationship between the normalized self-covariance of the generated traffic. In order to verify the validity and practicability of the proposed model, the experiments of different parameters of the two groups were comparatively analyzed. The experimental results show that the model has good advantages in the physical meaning and complexity under longer correlation, and the C-ON\/OFF network traffic model can be applied to the design of the network traffic monitoring system.<\/jats:p>","DOI":"10.3233\/jifs-169641","type":"journal-article","created":{"date-parts":[[2018,6,15]],"date-time":"2018-06-15T13:09:11Z","timestamp":1529068151000},"page":"2867-2877","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Construction of C-ON\/OFF network traffic model based on time series"],"prefix":"10.1177","volume":"35","author":[{"given":"Yi","family":"Liu","sequence":"first","affiliation":[{"name":"School of Computer Science, Beijing Institute of Technology, Beijing, China"},{"name":"Network Information Center, Yan \u2018an University, Yan \u2018an, Shaanxi, China"}]},{"given":"Tian","family":"Song","sequence":"additional","affiliation":[{"name":"School of Computer Science, Beijing Institute of Technology, Beijing, China"}]},{"given":"Le-Jian","family":"Liao","sequence":"additional","affiliation":[{"name":"School of Computer Science, Beijing Institute of Technology, Beijing, China"}]}],"member":"179","published-online":{"date-parts":[[2018,6,14]]},"reference":[{"issue":"1","key":"e_1_3_2_2_2","first-page":"1","article-title":"Research on network traffic modeling based on convergence and ON\/OFF","volume":"12","author":"Bo G.","year":"2014","unstructured":"BoG., ChangweiW. and HuD., Research on network traffic modeling based on convergence and ON\/OFF, Journal of Shenzhen Institute of Information Technology12(1) (2014), 1\u20139.","journal-title":"Journal of Shenzhen Institute of Information Technology"},{"key":"e_1_3_2_3_2","unstructured":"DinghuiW. 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