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- W2776314823 abstract "Although it is widely accepted that traffic volume is affected by user behaviors, observations related to semi-periodical patterns of weekly traffic is rarely reported. The present study, therefore, attempts to conduct a temporal analysis on one set of one-year network traffic data collected from a real IP backbone node in China. By traffic decomposition, we divided the traffic into two parts: major trend and temporal fluctuation. A 5-week template was developed to describe the semi-periodical pattern of temporal fluctuation, and a set of quantitative metrics were proposed to measure the deviation of holiday traffic to this template. Results of the present research reveal different effects of public holidays. For short holidays (as long as three days), the traffic volume is “pulled” a little higher than normal days, while such effect is limited in the neighboring several days. For long holidays (as long as seven days), the traffic volume is “pulled” or “pushed” greatly, so does the traffic in the preceding and following week. A “compensation effect” of the post-holiday traffic is also observed. In other words, the fluctuation part in post-holiday days exhibits a reversed trend from that in holidays, which somehow compensates the “pulling” or “pushing” effect of holidays." @default.
- W2776314823 created "2018-01-05" @default.
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- W2776314823 date "2017-05-01" @default.
- W2776314823 modified "2023-09-26" @default.
- W2776314823 title "A temporal analysis of holiday effect on IP backbone traffic" @default.
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- W2776314823 doi "https://doi.org/10.1109/iccsn.2017.8230269" @default.
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