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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Matias, R. Carvalho, A.M.M. Araujo, L.B. Maciel, P.R.M. |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Mathematics, Federal University of Uberlandia, Brazil (Araujo, L.B.) || School of Computer Science, Federal University of Uberlandia, Brazil (Matias, R.; Carvalho, A.M.M.) || Center of Informatics, Federal University of Pernambuco, Recife, Brazil (Maciel, P.R.M.) |
| Abstract | Traffic engineering in computer and communication networks has become a very complex process. An important part of this activity is to make predictions about network traffic. Therefore, research advances in network traffic forecasting are continually emerging in the literature. Although its importance, the quality control of network traffic forecasts is commonly neglected. In this paper we analyze the performance of CUSUM, Shewhart, and EWMA control charts applied to the residuals of an ARMA(2,2) forecasting model processing real WAN and LAN traffic samples. Numerical results and graphical analysis indicate that CUSUM performs worst for all traffic samples. Shewhart chart performs better than CUSUM, but worse than EWMA since it reports false alarms for processes under control. Differently than CUSUM and Shewhart, EWMA (λ=0.1) control chart shows the best performance for all traffic patterns, showing no false alarms. |
| Starting Page | 404 |
| Ending Page | 409 |
| File Size | 493132 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457706523 |
| ISSN | 1062922X |
| e-ISBN | 9781457706530 |
| DOI | 10.1109/ICSMC.2011.6083699 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Control charts Forecasting Autoregressive processes Process control Predictive models Monitoring Data models forecasting Quality control statistical control charts network traffic |
| Content Type | Text |
| Resource Type | Article |
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