The use of video in enterprises has been growing rapidly as many enterprises are realizing the value of video. Many enterprises use video for multiple aspects of their business operations including corporate communications, team meetings, e-learning, digital signage and the use of video assets within their business processes. Likely a combination of video technologies and tools are required to meet the enterprise needs.
Different video applications will behave differently and put different demands on the network. The chart below illustrates a range of business video applications with different characteristics and network requirements.
Telepresence is two-way real-time video while streaming video is one-way broadcast video. Telepresence has stringent network requirements and it is highly sensitive to latency, jitter and loss, whereas streaming video can better tolerate delays; by buffering a larger amount of content before rendering it, in order to smooth out the video experience and compensate for network jitter.
Generally speaking, it is straight forward to provision the network for Telepresence as long as you know how many rooms are in your network, the typical usage pattern (e.g. 60% usage between office hours) and the traffic characteristics. In contrast to Telepresence, it is much harder to provision the network for desktop collaboration video as the usage pattern is not as well defined. Worst yet, do you know how many users are equipped with high definition web cameras built into their laptop on your network? The situation is exasperated by new collaboration tools with one click away, what started as a low bandwidth instant messaging session could end up be a high bandwidth video desktop collaboration session.
These are just some examples of the challenges associated with deploying, managing and assuring quality of business video applications. As more types of video applications that pose different demands into the network are deployed, the need for intelligent networks like medianets become critical. Medianets can simplify and reduce costs of deploying video, as well as efficiently use network resources and dynamically adapt to changing network conditions and demands from different video applications to deliver optimal video quality.