Concurrent Awarded U.S. Patent for Demand-Based Edge Caching Video Content System and Method
News Highlights:
- Concurrent has been granted U.S. Patent 8,505,057 for a method of caching video content at the edge of a content delivery network
- The methodology decreases the stress on regional and metro networks and improves consumer quality of experience for on-demand video services by caching popular content at the edge of the network
Concurrent (CCUR), a global leader in multi-screen video delivery and media data intelligence solutions, today announced it has been awarded a patent for demand-based edge caching of video content.
The patent was awarded for a method and system of prioritizing and intelligently caching video content at the edge of a content delivery network based on asset demand. By caching popular video content at the edge, more requests can be fulfilled from within the local network and demands placed on regional and metro networks can be dramatically reduced.
"We are pleased to have been awarded a patent for demand-based edge caching of video content," said Bob Chism, Chief Technology Officer for Concurrent. "Intelligent edge caching is an important element of any content delivery network. With video accounting for a growing proportion of the traffic being managed through CDNs every day, our customers are interested in solutions that can reduce the amount of core network bandwidth consumed by video streaming applications. Our caching technology ensures content is stored and delivered as efficiently as possible, minimizing the use of our customers' valuable network resources."
CCUR's Unified Content Delivery Solution employs intelligent edge caching to deliver video to any screen, over any network. Edge based caching servers pull content segments through the network as needed to fulfill consumer requests for streaming video. Concurrent's servers prioritize content segments based on popularity and store them locally so they can be used to satisfy future streaming requests, thereby reducing the load on the content delivery network.
CCUR enables pay TV service providers to use the same edge streaming software to deliver video to tablets, smart TVs, smartphones, and traditional set-top boxes. By combining support for multi-screen services and core TV based services like video-on-demand, Concurrent makes it easier for operators to reach consumers on every device and offer a seamless experience across platforms.
This is HUGE!
At the current price of $8.37, CCUR has a market cap of only $73.5 million with $22.37 million in cash and an enterprise value of $51.16 million or 0.81X trailing revenues of $63.23 million and 9.14X free cash flow of $5.6 million! CCUR has a trailing gross margin of 58.2% and a trailing operating margin of 4.28%!
Furthermore, CCUR just got awarded this HUGE new PATENT which by itself should add much more value to the Company! This is the most undervalued Nasdaq Video play in the market!
About Concurrent
Concurrent (CCUR) is a global leader in video, media data intelligence and real-time Linux® solutions. Concurrent provides customers with transformative solutions to fuel their business beyond what was thought possible. Concurrent's unified video delivery and media data intelligence solutions support every screen simultaneously, making it easier for cable MSOs, fixed-line telecommunications providers, mobile operators, online media companies and satellite TV broadcasters to deliver revenue generating video services to consumers on any device, over any network. The world's leading telecommunication and online media companies have selected Concurrent to provide the solutions and services required to support their next-generation multi-screen video initiatives. Concurrent's Emmy® award-winning video solutions are based upon a rich heritage of high-performance real-time technology. Concurrent's real-time Linux solutions are used to support applications in the defense, aerospace, automotive and financial industries. Concurrent has offices in North America, Europe and Asia. Visit www.ccur.com for further information. Follow us on Twitter: www.twitter.com/Concurrent_CCUR 
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