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Edge, Data Centers, and Cloud

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Twenty nine billion. That’s the latest projection for the number of connected devices on the global network by 2022. And roughly 18 billion of those devices will be related to the Internet of Things.

That means 18 billion nodes on the network, all vying for critical air time to communicate valuable data being captured. For some, the distance that data will need to traverse the network will be much shorter than for others, thanks to edge computing. Envision a mesh network of micro data centers with the ability to process and store data collected from intelligent devices and then push it straight to a central data center or a cloud repository, thus reducing the backhaul traffic. Edge computing moves computation into the cloud.

The true appeal of edge intelligence comes in moments when the idea of “real-time” isn’t just hyperbole. Think telehealth applications communicating life-or-death data or remote diagnostics on an oil rig in times of an emergency. And 5G accelerates the business case for edge computing as telecom providers look to add micro-data centers that are located either into or adjacent to their 5G towers.

Edge computing is a natural solution to mitigating data latency due simply to the fact that data does not need to process over a network to a data center or cloud. In fact, some in the industry are even touting "single-digit millisecond latency" with new edge computing networks.

Bringing such public cloud capabilities to the edge of the network can be achieved in multiple ways. One is a custom software stack emulating the cloud services running on existing hardware, often referred to as the device edge. Another, referred to as the cloud edge, involves extending the public cloud to multiple point-of-presence (PoP) locations. The method chosen simply comes down to the use case.

Major cloud providers like AWS and Microsoft are launching products aimed at the edge. And these companies are spending big money on data centers across the globe to enable more in the cloud. Some reports estimate that cloud companies and data center providers together spent $20 billion in 2017 to purchase properties to house their computer servers. It’s a record investment over the previous three years combined.

Data centers come in multiple forms, from the fully distributed down to the micro edge data center, which pull data further out to the edge where it is being produced and consumed. This is vital as we look at new markets like autonomous vehicles where a bevy of computational and regulatory and compliance data needs to be processed in a moment’s notice and at all times.

Within those data centers, the total cost of ownership continues to come down, with the footprint of equipment continuing to shrink thanks to virtualized infrastructure. Virtualized high-performance compute and storage platforms, coupled with standardized software and processors not only reduce the physical infrastructure needed to operate the network, but also lower IT management costs. Even satellite providers are moving in the direction of a virtualized hub infrastructure with the ability to scale up and down on demand, with some even running intelligent gateways that can support a range of hub-side applications.

Overall, strategies that fuel the way in which data is stored and transmitted will remain in constant evolution. TIA’s working groups, training opportunities, business networking, videos and services are ready to help you navigate the developing data center, edge computing and cloud arena.

NEW! A Future at The Edge: Edge Data Center Working Group Solutions Brief Papers

5G and the host of new technologies that will leverage low-latency communication at the edge require rethinking the way our telecommunications and data infrastructure is built and managed going forward. TIA’s Edge Data Center (EDC) Working Group has developed a series of Solution Brief Papers surrounding key considerations for deploying EDCs – from site selection and survivability, to physical security, thermal management, operations and more. Get the informative EDC Solutions Brief Paper series below.

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Cross Border Data Flows

The data center landscape is changing rapidly and so are the regulatory questions and concerns around how that data will be transferred from one country to another. Here to tell us more about the challenges and solutions for cross border data flows is Danielle Coffey, VP & General Counsel of Government Affairs at TIA.

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Big Data or Big Problem for the Planet?

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The Hype Around Hyperscale Clouds

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Green is Gold: Bigger Margins Begets Better Data Center Efficiency

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Data Center Solutions: A Business Case

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Industry Analysts Review MWC 2016

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Connect What Matters: IoT in a Smart City

Dell’s moniker for Mobile World Congress 2016 is “ Connect What Matters,” and for good reason. Connecting M2M industrial devices has quickly advanced into critical applications in smart cities, connecting infrastructures like bridges and dams. But now there are new solutions in the smart city that are benefiting from IoT technologies and a new technology…

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Cloud & IoT: Impact on Data Centers

Here at the TIA 2016 Network of the Future Conference in Dallas, TIA NOW will explore the impact that IoT and Cloud computing will have on our data centers. Here to talk to us is Mike Capuano, VP of Worldwide Marketing at Infinera.

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Supporting Real Time Video: Advancing Cloud and Data Center Technologies

Linsey Miller, VP of Marketing for Artesyn, tells TIA NOW why cloud and data center technologies need to keep pace with the user experience that consumers demand.

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Hyperscale: Not Your Grandmother’s Data Center

Hyperscale data center designs are leveraging simpler hardware, dramatically reducing energy consumption and deploying simple nodes to replace single points of failure. Here at TIA 2016, TIA NOW will look into how we are changing such things as data center vertical integration, and moving towards purpose-built vertical designs. Here with us today is Michael Menefee,…

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NFV/Central Office (CO) to Data Center (DC) Transition

Central offices are carving out space for data center capabilities and an industry defined standard is necessary.

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Edge Data Centers

Bringing together carriers, data center owners, equipment and cabling suppliers, consultants, auditing firms, and others, to establish standards and best practices for the mass scale operation of edge data centers.