The #Cloud is moving toward the #Edge in an effort to be closer to the cloud customers and the Edge is accelerating access to the Cloud from anywhere by offering lower transport costs, more choices, faster connectivity, better reliability, and accelerated performance.
New applications, the enormous demands placed on the internet in the age of COVID 19, and moving from the enterprise space to the hyper-local edge installation all demand a rethinking of what the data center should look like. While the core components remain the same, this webinar will address how we must rethink how we specify and install enclosures, power, climate control and related accessories.
Edge computing sits at the intersection of artificial intelligence, the internet of things and big data and provides the flexibility of a hybrid model that can take advantage of both data center infrastructure and the cloud. By 2025, experts expect there will be 41.6 billion IoT devices, each equipped with sensors gathering information each second. It’s simply not reasonable for all that data to be streamed back to a central data center or traditional on-premises computing environment. By bringing compute power to the edge and integrating increasingly mature AI — a combination referred to as the “intelligent edge” — agencies can actually use this rapid expansion of data to help their missions.
Corning’s EDGE™ solutions were the industry’s first preterminated optical cabling systems specifically designed for the data center environment.
Experts agree: without a modern, real-time-capable infrastructure, neither the Internet of Things (IoT), nor autonomous driving or Smart Cities can be realized. The fact is that data volumes around the globe are exploding. Real-time data processing is only possible with 5G mobile communications and Edge Computing. Modern & high-performance fiber optics cabling is the prerequisite.
The six installment in Bob Hult’s Technology Trends series examines the rise of data centers and the shift to cloud and edge computing.
Edge computing reduces the latency between a device and service where latency is the roundtrip time between two systems over a network. While reducing latency is one of the its main benefits, edge computing has other benefits that will be exposed as 5G use cases are discussed.
This webinar gives data center managers some key cabling strategies to manage multiple waves of 5G — helping ensure next-generation coverage for billions of devices. Topics include the three phases of 5G deployment, data processing at the edge to reduce latency, and centralized data centers to support the workloads generated by 5G.
Cloudlets, or mini-clouds, are starting to roll out closer to the sources of data in an effort to reduce latency and improve overall processing performance. But as this approach gains steam, it also is creating some new challenges involving data distribution, storage and security.
For IoT deployments, going to the edge may be the best choice when it comes to helping businesses deploy IoT technology across their network infrastructures. Panduit’s white paper, “Edge Computing: Behind the Scenes of IoT,” explains the difference between the cloud and edge computing and three ways the edge can help IoT technology deployments. It also discusses the following key areas for consideration when deploying edge computing: real-time requirements, environmental conditions, space limitations, and security.