Adaptive Video Streaming Using TCP Factors Control with User Parameters

AbstractMedia streaming over TCP has become increasingly popular because TCP's congestion control provides remarkable stability to the Internet. Streaming over TCP requires adapting to bandwidth availability and other network parameters in order to have a good users satisfaction. Nowadays the streaming video can be projected on different kind of terminal as tablet, smart phones, laptop.etc. Each device has its own characteristics and parameters which must be taken into consideration on the video streaming adaptation process. In this paper, we propose an adaptive video streaming solution to improve the quality of experience (QoE) of the users by adapting TCP parameters to the user parameters on mobile networks. We validate the models using the ns2 simulator

Simulation of an Adaptive video streaming based-user control using TCP parameters

On the last few years, Media streaming services over TCP have become very popular because TCP’s congestion control provides remarkable stability to the Internet. To offer a high quality of Media and also a good user satisfaction, the media streaming service requires the adaptation of the bandwidth availability and other network parameters. Nowadays the streaming video can be projected on different kinds of terminal as tablet, smart phones, laptop....etc. Each user (device) has its own characteristics and parameters which must be taken in consideration on the video streaming adaptation process. The classic Adaptive video streaming services do not take in consideration the user parameters on the adaptation process. In this paper we propose an adaptive video streaming solution to improve the user satisfaction factor by adapting TCP parameters according to the user parameters on mobile networks. The user satisfaction factor is calculated according to the quality of experience (QoE) methods. We validate the work with a simulation using the ns2 simulator

Adaptive video streaming solution based on multi-access edge computing advantages

International audienceIn the last few years, video streaming traffic surpassed all the other Internet traffic. This is mainly due to the substantial and ever-increasing size of video files and the widespread popularity of streaming services. A significant portion of the traffic above originates from mobile devices, thereby increasing demands on operators’ infrastructures and potentially degrading services. The content providers’ response has been to adopt adaptive video streaming techniques that avoid playbackinterruptions, as these interruptions are the leading cause of the deterioration in the Quality Of Experience (QoE). To go beyond end-to-end approaches, the authors proposed a new strategy that utilizes the Multi-access Edge Computing (MEC) standard to optimize streaming services. Being located at the MEC level allows, indeed, to be aware of the network congestion’s state, which facilitates optimizing network operations. The suggested seamless strategy considers the users’ devices’ parameters to prevent them from selecting video quality options that would not enhance their viewing experience. By avoiding choices that could diminish the quality or worsen the experience, our strategy optimizes network resources and reduces energy and bandwidth consumption on the mobile device side. The proposed approach was implemented and tested within an emulation environment. The findings demonstrate the suitability of this type of approach in comparison with existing strategies (YouTube service) in terms of users’ satisfaction and network performance

TCP based-user-parameters control for adaptive video streaming

International audienceNowadays, Media streaming services over TCP have become very popular because of the TCP’s reliability, which provides remarkable stability to the Internet. However, in order to offer a high media quality and a good user satisfaction, the media streaming service requires that transport protocols can be adapted continuously with the network parameters. However, the diversity, of terminals (i.e., tablet, smart phones, laptop … etc.) and their corresponding capabilities, means that users’ agnostic solutions are inefficient to cope with such diverse contexts. Indeed, the intrinsic characteristics and parameters of the terminal users (i.e., devices) need to be taken into account on the video streaming adaptation process. The classic adaptive video streaming services do not consider the user parameters on the adaptation process. In this paper, we propose an adaptive video streaming solution to improve the user satisfaction factor by adapting the TCP parameters according to the user’s parameters on mobile networks. The user satisfaction factor is calculated according to some metrics driven from the user’s quality of experience (QoE). The work is validated through our proposal based on a new mobile agent (which does all the work) developed on a Linux script platform and tested on different kinds of devices with different scenarios