A model for evaluating sharing policies for network-assisted HTTP adaptive streaming
| Autor: | Pablo Cesar, Rob van der Mei, Jan Willem Kleinrouweler, Sergio Cabrero |
|---|---|
| Přispěvatelé: | Mathematics, Distributed and Interactive Systems, Stochastics |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Fairness
Computer Networks and Communications Computer science Performance 02 engineering and technology computer.software_genre Video quality Bottleneck Network element Capacity sharing Server Bitrate 0202 electrical engineering electronic engineering information engineering Innovation Video streaming business.industry Testbed Instability 020206 networking & telecommunications 020207 software engineering Provisioning Proxy server Markov model and Infrastructure The Internet SDG 9 - Industry Innovation and Infrastructure business computer SDG 9 - Industry Computer network |
| Zdroj: | Computer Networks, 109 Computer Networks (1999), 234-245. Elsevier ISSUE=109;STARTPAGE=234;ENDPAGE=245;ISSN=1389-1286;TITLE=Computer Networks (1999) Kleinrouweler, J W, Cabrero, S, van der Mei, R D & Cesar, P 2016, ' A model for evaluating sharing policies for network-assisted HTTP adaptive streaming ', Computer Networks (1999), no. 109, pp. 234-245 . https://doi.org/10.1016/j.comnet.2016.03.023 Computer Networks, 109 Part 2, 234-245 |
| ISSN: | 1389-1286 |
| Popis: | HTTP adaptive streaming (HAS) has become the dominant technology for streaming video over the Internet. It gained popularity because of its ability to adapt the video quality to the current network conditions and other appealing properties such as usage of off-the-shelf HTTP servers and easy firewall traversal. However, when multiple HAS players share a bottleneck link for streaming, the individual adaptation techniques in the players have difficulties to maintain a stable bitrate and fairly share the network resources. HAS-assisting network elements can solve these performance problems and allow execution of advanced policies for sharing the available bandwidth. Nonetheless, testing and evaluating new sharing policies is costly and time consuming. This motivated us to formulate a model that allows to differentiate between groups of users depending on the type of user or device, and that can describe the mean bitrate of the video streams and how often this bitrate is expected to change during playout. To show how our model can be used, we demonstrate two applications of our model. Furthermore, we validate the model based results against results obtained using our streaming testbed and proxy server based HAS-assistant. The results show that our model is highly accurate for both the mean bitrate and the number of changes in video bitrate. As such, our model is a useful tool for network administrators and internet service providers for evaluating the performance of sharing policies and for managing and provisioning video delivery networks. |
| Databáze: | OpenAIRE |
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