New-TechEurope Magazine | November 2017 | Digital Edition

Sensors Special Edition

will be critical elements to enabling edge computing. But latency is also determined by the physical distance between a mobile device and the network resources to which it’s connected. For example, say you want to run a virtual reality experience in the cloud. And the data center powering that experience is hundreds of miles away from you and your VR glasses. As a result, every time you turn your head, there’s a good chance there will be a noticeable delay between when you turn and when the image moves to follow your gaze. That lag is an unavoidable byproduct of the time it takes that data to cross those large physical distances. So we’re shrinking the distance. Instead of sending those commands hundreds of miles to a handful of data centers scattered around the country, we’ll send them to the tens of thousands of central offices, macro towers, and small cells that are generally never farther than a few miles from our customers. If the data centers are the “core” of the cloud, these towers, central offices, and small cells are at the “edge” of the cloud. Intelligence is no longer confined to the core. The cloud comes to you. We’ll outfit those facilities with high- end graphics processing chips and other general purpose computers. We’ll coordinate and manage those systems with our virtualized and software-defined network. Eventually, we could embed these systems in everyday items like traffic lights and other infrastructure. That could enable self-driving cars to talk to their surroundings or alert fire and medical services almost instantly when there’s a problem. You could get amazing virtual reality and augmented reality images delivered instantaneously to the

super-slim device in your pocket. Doctors would be able to view and share and adjust complex medical images without having to invest in expensive imaging systems. Edge computing could also spark the next generation of robotic manufacturing. The 5G service on the horizon could play a vital role in what’s called "Industry 4.0 - Digital Manufacturing". The anticipated low-latency wireless connections could eliminate the traditional wired connections to robotic assemblers. Manufacturers will be able to quickly retool their operations as robots in the factory will be connected wirelessly, eliminating the need for time-consuming rewiring. Products can get to market faster. We’re already deploying EC-capable services to our enterprise customers today through our AT&T FlexWareSM service. Customers can currently manage powerful network services through a standard tablet device. We expect to see more applications for EC in areas like public safety that will be enabled by the FirstNet wireless broadband network. We’re committed to deploying mobile 5G as soon as possible and we’re committed to edge computing. As we roll EC out over the next few years, dense urban areas will be our

first targets, and we’ll expand from those over time. Our network virtualization initiative will go hand in hand with our mobile edge computing program. Our goal is to virtualize 75% of our network functions by 2020. We aim to cross the halfway mark this year, reaching 55%. As we’ve said before, we think 5G and software defined networking will be deeply intertwined technologies. We don’t think you can claim to be preparing for 5G and EC if you’re not investing in SDN. We’re all in. Now. Our AT&T Labs and AT&T Foundry innovation centers are playing a key role in designing and testing edge computing. In February, the AT&T Foundry in Palo Alto released a white paper discussing the computing and networking challenges around AR/VR. In the coming weeks, our second white paper will discuss how we can apply edge computing to enable mobile augmented and virtual reality technology in the ecosystem. There’s no time to lose. We think edge computing will drive a wave of innovation unlike anything seen since the dawn of the internet itself. Stay tuned.

New-Tech Magazine Europe l 63