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How Often Will Users Turn to Video?How Often Will Users Turn to Video?

Higher utilization means a lower cost per hour of use, and vice versa.

John Bartlett

December 10, 2009

3 Min Read
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Higher utilization means a lower cost per hour of use, and vice versa.

In my network consulting practice I am often working with clients who are deploying video conferencing. One of the first steps in this process is to determine the video demand, which means predicting how much bandwidth the video conferencing will use on the Enterprise network. One of the critical components of this calculation is to understand how often users will be using the video conferencing equipment.To get a better handle on this question, I had a discussion with Jim Idelson of DesigNET. Jim's consulting practice focuses on the application and process side of video conferencing, looking at usage patterns, service quality, operational efficiency, and the business impact of video conferencing deployment.

Jim pointed out that we have to look at the room-based video conferencing and the personal video conferencing as two quite different models, from a utilization and efficiency point of view. The room-based model, whether it be traditional video conferencing, high-def or Telepresence, is all based on having a shared resource (typically a conference room equipped with a fair amount of expensive gear) that is scheduled. Conversely, personal video conferencing is just that--personal--meaning that the equipment is dedicated to one person (either a low-cost desktop appliance or software and a web-cam on a PC). The utilization of room-based systems is quite important and heavily dependent on the efficiency of the scheduling process, and on the size of the user community that those systems are intended to serve. The utilization of personal systems is only dependent on the frequency with which the individual user wishes to use video or has an opportunity to use video.

Jim and I are both interested in video utilization, but for two different reasons. And it turns out we need to look at different numbers as well.

Jim's interest is in understanding both overall and peak utilization of resources, in order to manage the quality of the end-to-end user experience, while keeping the cost of providing the service as low as possible. So he is calculating the investment and operating costs distributed over the number of video-conferencing hours. Higher utilization means a lower cost per hour of use, and vice versa.

I am trying to understand the demand on the network, so I really need to understand the concurrent utilization during the "busy hours" for specific topological portions of the network. As an example, I need to know how many of the systems in the Chicago office will be used concurrently, and if they will all be using bandwidth on the Chicago MPLS access link. If calls are made within the Chicago office (or complex, or campus) then there may be plenty of bandwidth, whereas if most of those calls are to remote offices, the WAN access link may become a significant constraint, as it is the more scarce resource.

Jim and I worked up a couple of models for how to think about video conferencing utilization for these two classes of video (room-based and personal). I'll discuss these in the next couple of blogs.Higher utilization means a lower cost per hour of use, and vice versa.

About the Author

John Bartlett

John Bartlett is a principal with Bartlett Consulting LLC, where he provides technical, financial, and management leadership for creation or transition of Unified Collaboration (UC) solutions for large enterprises. John discovers the challenges in each enterprise, bringing disparate company teams together to find and execute the best strategy using Agile-based methodology to support quick wins and rapid, flexible change. John offers deep technical support both in collaboration solutions and IP network design for real-time traffic with global enterprises world-wide.

 

John served for 8 years as a Sr. Director in Business Development for Professional & Managed Services at Polycom. In this role he delivered, defined and created collaboration services and worked with enterprises to help them shorten time-to-value, increase the quality and efficiency of their UC collaboration delivery and increase their collaboration ROI.

 

Before joining Polycom, John worked as an independent consultant for 15 years, assessing customer networks for support of video applications and other application performance issues. John engaged with many enterprises and vendors to analyze network performance problems, design network solutions, and support network deployments.

 

John has 37 years of experience in the semiconductor, computer and communications fields in marketing, sales, engineering, manufacturing and consulting roles. He has contributed to microprocessor, computer and network equipment design for over 40 products.