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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changhua Zhu Changxing Pei Jiandong Li |
| Copyright Year | 2004 |
| Description | Author affiliation: State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an, China (Changhua Zhu; Changxing Pei; Jiandong Li) |
| Abstract | Nonstationarity and nonlinearity are found by the analysis of various delay series measured from different Internet links. The fact that different types of links have different degrees of self-similarity is also obtained. By constructing appropriate network architecture and neural functions, functional networks can be used to model the Internet end-to-end nonlinear delay time series. Furthermore, by using adaptive parameter studying algorithm, the nonstationarity can also be well modeled. The numerical results show that the provided functional network architecture and adaptive algorithm can precisely characterize the Internet end-to-end delay dynamics. |
| Sponsorship | IEEE Comput. Soc. and Communication Res. Lab., Japan |
| Starting Page | 540 |
| Ending Page | 543 |
| File Size | 334640 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769520510 |
| DOI | 10.1109/AINA.2004.1283862 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-03-29 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | IP networks Delay effects Time measurement Position measurement Web and internet services Nonlinear dynamical systems Time series analysis Global Positioning System Protocols Telecommunication traffic |
| Content Type | Text |
| Resource Type | Article |
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