DIFFERENTIATING MOBILE TRAFFIC CLASSES
TECHNICAL PAPER WHITEPAPER
As we enter the 5th Generation of telecom, carriers face their greatest challenge to date: How to ensure an optimal Quality-of-Experience for a veritable tsunami of HD video content?
In this Whitepaper, we’re looking at the phenomenal uptake of so called OTT, or Over-The-Top video services like Netflix, YouTube, Amazon Prime, Hulu, Skype and Facetime, as well as carrier-native IPTV services, their impact on mobile networks and the dire need for solutions to manage and improve the customer service experience. We’ll look at how innovative Network Slicing technologies, specifically the Cloudstreet platform, provide a promising new model for application-aware network traffic management and a framework for a flawless mobile OTT HD video experience.
And finally, looking at real-world scenarios, we’ll make the case for how Cloudstreet’s next-generation technology at once changes the game for carriers, content providers and mobile consumers looking for solutions to the OTT/IPTV video problem.
Video now consumes a whopping 50% of mobile Internet traffic and nearly 60% of all Internet traffic. By the year 2020, video consumption on mobile alone is predicted to top 75%, leaving cellular networks woefully over saturated.
As MNOs struggle to compete in a red ocean of OTT services, the prospects for native IPTV are promising yet unrealized. How will they meet the bandwidth demands of OTT/IPTV services into the future as a generation goes HD over mobile?
So much promise in so few words, Network Slicing will at once to remove the barriers of physical network re-development and invite an inexhaustible array of possibilities of which OTT and IPTV video are just the beginning.
By focusing on the very dynamic aspects of mobile bandwidth consumption, Cloudstreet’s approach to virtualized Network Slicing provides a framework for the flawless delivery of limitless mobile OTT use cases .
The Application-Aware Network:
A new revenue model for delivering
bandwidth on-demand leveraging
Dynamic Network Slicing.