Abstract

In the past years, videoconferencing (VC) has become an essential means of communications. VC allows people to communicate face to face regardless of their location, and it can be used for different purposes such as business meetings, medical assistance, commercial meetings, and military operations. There are a lot of factors in real-time video transmission that can affect to the quality of service (QoS) and the quality of experience (QoE). The application that is used (Adobe Connect, Cisco Webex, and Skype), the internet connection, or the network used for the communication can affect to the QoE. Users want communication to be as good as possible in terms of QoE. In this paper, we propose an architecture for videoconferencing that provides better quality of experience than other existing applications such as Adobe Connect, Cisco Webex, and Skype. We will test how these three applications work in terms of bandwidth, packets per second, and delay using WiFi and 3G/4G connections. Finally, these applications are compared to our prototype in the same scenarios as they were tested, and also in an SDN, in order to improve the advantages of the prototype.

Highlights

  • Video conferencing is a widespread means of communication in an era where technologies are constantly evolving

  • The Internet was not designed to transmit real-time video/audio information, so Quality of Service (QoS) is one of the most important tasks to deal with when generating IPTV services

  • This study explores the relationship between Quality of Experience (QoE) and three different factors: layout, video quality, and network limitations

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Summary

Introduction

Video conferencing is a widespread means of communication in an era where technologies are constantly evolving. The audio and video contents that are transmitted over the Internet are constantly growing. One of these contents that is transmitted over the Internet is television It is known as IPTV (Internet Protocol Television), and it consists of the distribution of high-quality television content [1]. It can be real-time video or Video on Demand (VoD). The Internet was not designed to transmit real-time video/audio information, so Quality of Service (QoS) is one of the most important tasks to deal with when generating IPTV services. Huang et al [3] propose data-driven QoE prediction for IPTV services They firstly evaluate user experience of IPTV in a data-driven approach, and they analyze the user’s interest and experience

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