4K Video Traffic Prediction using Seasonal Autoregressive Modeling
From the perspective of average viewer, high definition video streams such as HD (High Definition) and UHD (Ultra HD) are increasing their internet presence year over year. This is not surprising, having in mind expansion of HD streaming services, such as YouTube, Netflix etc. Therefore, high defini...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Telecommunications Society, Academic Mind
2017-06-01
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| Series: | Telfor Journal |
| Subjects: | |
| Online Access: |
http://journal.telfor.rs/Published/Vol9No1/Vol9No1_A2.pdf
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| _version_ | 1811308146463866880 |
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| author | D. R. Marković A. M. Gavrovska I. S. Reljin |
| author_facet | D. R. Marković A. M. Gavrovska I. S. Reljin |
| author_sort | D. R. Marković |
| collection | DOAJ |
| description | From the perspective of average viewer, high definition video streams such as HD (High Definition) and UHD (Ultra HD) are increasing their internet presence year over year. This is not surprising, having in mind expansion of HD streaming services, such as YouTube, Netflix etc. Therefore, high definition video streams are starting to challenge network resource allocation with their bandwidth requirements and statistical characteristics. Need for analysis and modeling of this demanding video traffic has essential importance for better quality of service and experience support. In this paper we use an easy-to-apply statistical model for prediction of 4K video traffic. Namely, seasonal autoregressive modeling is applied in prediction of 4K video traffic, encoded with HEVC (High Efficiency Video Coding). Analysis and modeling were performed within R programming environment using over 17.000 high definition video frames. It is shown that the proposed methodology provides good accuracy in high definition video traffic modeling. |
| first_indexed | 2024-04-13T09:16:53Z |
| format | Article |
| id | doaj.art-76037f6a1a694e3ba9e59bb1dc683a4c |
| institution | Directory Open Access Journal |
| issn | 1821-3251 |
| language | English |
| last_indexed | 2024-04-13T09:16:53Z |
| publishDate | 2017-06-01 |
| publisher | Telecommunications Society, Academic Mind |
| record_format | Article |
| series | Telfor Journal |
| spelling | doaj.art-76037f6a1a694e3ba9e59bb1dc683a4c2022-12-22T02:52:43ZengTelecommunications Society, Academic MindTelfor Journal1821-32512017-06-019181310.5937/telfor1701008M4K Video Traffic Prediction using Seasonal Autoregressive ModelingD. R. MarkovićA. M. GavrovskaI. S. ReljinFrom the perspective of average viewer, high definition video streams such as HD (High Definition) and UHD (Ultra HD) are increasing their internet presence year over year. This is not surprising, having in mind expansion of HD streaming services, such as YouTube, Netflix etc. Therefore, high definition video streams are starting to challenge network resource allocation with their bandwidth requirements and statistical characteristics. Need for analysis and modeling of this demanding video traffic has essential importance for better quality of service and experience support. In this paper we use an easy-to-apply statistical model for prediction of 4K video traffic. Namely, seasonal autoregressive modeling is applied in prediction of 4K video traffic, encoded with HEVC (High Efficiency Video Coding). Analysis and modeling were performed within R programming environment using over 17.000 high definition video frames. It is shown that the proposed methodology provides good accuracy in high definition video traffic modeling. http://journal.telfor.rs/Published/Vol9No1/Vol9No1_A2.pdf 4K Video trafficHEVCautoregressive modelseasonal techniquevideo tracingprediction |
| spellingShingle | D. R. Marković A. M. Gavrovska I. S. Reljin 4K Video Traffic Prediction using Seasonal Autoregressive Modeling Telfor Journal 4K Video traffic HEVC autoregressive model seasonal technique video tracing prediction |
| title | 4K Video Traffic Prediction using Seasonal Autoregressive Modeling |
| title_full | 4K Video Traffic Prediction using Seasonal Autoregressive Modeling |
| title_fullStr | 4K Video Traffic Prediction using Seasonal Autoregressive Modeling |
| title_full_unstemmed | 4K Video Traffic Prediction using Seasonal Autoregressive Modeling |
| title_short | 4K Video Traffic Prediction using Seasonal Autoregressive Modeling |
| title_sort | 4k video traffic prediction using seasonal autoregressive modeling |
| topic | 4K Video traffic HEVC autoregressive model seasonal technique video tracing prediction |
| url |
http://journal.telfor.rs/Published/Vol9No1/Vol9No1_A2.pdf
|
| work_keys_str_mv | AT drmarkovic 4kvideotrafficpredictionusingseasonalautoregressivemodeling AT amgavrovska 4kvideotrafficpredictionusingseasonalautoregressivemodeling AT isreljin 4kvideotrafficpredictionusingseasonalautoregressivemodeling |