دانلود رایگان مقاله مدل سازی جریان تطبیقی زنده از طریق HTTP

Abstract

Video streaming methods have evolved greatly over the years. Today, the most prevalent technique to stream live and video on-demand is the adaptive HTTP streaming and is used by several commercial vendors. In this paper, we present an approximate analytic model for live adaptive streaming over HTTP. Using this model, we propose a new rate control algorithm that makes the rate transitions less frequent and increases the quality of experience for the viewer. Also, the model can be used to characterize the departure packet process at the video server. To the best of our knowledge, this is the first video traffic model for adaptive HTTP streaming to be reported in the literature.

6. Conclusion

Nowadays an increasing number of video applications employ adaptive streaming over HTTP, as it has several more benefits com- pared to classical streaming. Its offers multiple bit rates of video that enables video service providers to adapt the delivered video to the users’ demands. Secondly, the video bit rate can be adapted dy- namically to changing network and server/CDN conditions. Lastly, different service levels and/or pricing schemes can be offered to customers. Significant amount of work has been done on the de- sign of rate adaptation schemes and performance comparisons, however, no one has modeled and studied the system analytically. In this paper, we proposed the first (to the best of our knowledge) analytic model for live adaptive streaming over HTTP. The model can be used to characterize the departure process of the IP packets from the video server. Also, using this model we proposed a new rate control algorithm that makes less frequent rate transitions and increases the quality of experience for the viewer.