The move to edge cloud is resulting in a huge proliferation of local data centers. By moving processing power and services closer to the edge of the network, a wealth of new cloud-based applications dependent on low latencies and highly reliable connections emerge. Like their centralized counterparts, edge data centers need high capacity like long-haul transport links, but the networks they’re building are fundamentally different. Instead of a connecting a few distant central data centers, cloud providers are connecting dozens of distributed data centers in a single city in order meet the fast response times and low latencies required of new edge computing services.
At the risk of giving away the conclusion too early, there’s a clear place — not to mention, a need — for both application and infrastructure deployments in the cloud and on the edge. Centralizing data and the processing it in the cloud can be efficient and effective, but where latency can’t be tolerated, some amount of processing needs to be carried out at the edge. In fact, it’s often easier and more efficient to bring the processing to the data than it is to bring the data to the processing engine.
Mission Critical and Panduit commissioned Clear Seas Research to conduct a survey measuring industry awareness and usage of edge computing solutions. 100 experts were asked how they would explain edge computing to someone new in the industry. Responses ranged from vague — “It’s modern and tech savvy,” to precise — “Putting the data near the user,” to eye-opening — “Not 100% sure myself.” Read the full report for more insight regarding the perceived challenges and benefits associated with edge computing as well as who should be involved in the decision-making process when it comes to deploying edge infrastructure and selecting the right vendor.
Edge computing is all about knitting together a growing universe of devices and applications. Colocation provider sees cloud content going further and deeper going beyond the on-ramps and moving to specialized instances of cloud.
What do AR/VR, cloud gaming, smart cities, 5G, autonomous vehicles, healthcare sensors, surveillance and facial recognition all have in common? The need for low-latency connectivity enabled by networks architected with edge computing. For some service providers, edge computing trials have already started. For others, edge computing plans won’t be formulated for a few years. But, whether they’ve already devised their edge compute strategy or haven’t yet begun, the first question they need to ask themselves is: “How do we define edge computing?”
The annual State of the Edge report’s third edition focuses on what impact edge computing is expected to have in the next ten years. It interprets the profound re-architecting of the Internet being driven by edge computing and adds over a year of updates from the edge community.
Edge provides a huge opportunity to host many use cases on one infrastructure, manageable from a single pane of glass. Getting close to end-users not only allows the operator to tap directly into the new revenue streams for ultra-low latency/ultra-reliable services, but also to provide “edge-as-a-service,” and other infrastructure-as-a-service and hosting services to other enterprises.
The following are five technology and market trends in the areas of compute, storage, and network to watch in 2020: The evolution of server architecture; software defined data centers; cloud consolidation; the emergence of edge computing; and advances in server network connectivity.
AT&T and Deloitte University will bring 5G network connectivity and edge computing services to Deloitte to help the college transform the future of digital corporate learning and workplace collaboration in the university’s 700,000 sq. ft. leadership and learning center located near Dallas in Westlake, Texas. The new communications platform will help enable DU to explore new technologies and innovations to enhance experiential learning programs and overall guest experiences. MEC and 5G will be installed at the center to support specific use cases.
Both edge computing and fog computing are strongly on the rise for the same exact reasons: an IoT data deluge. This IoT data deluge, among others, takes place in the converging worlds of IT and OT (predominantly Industrial IoT) and occurs in general as we keep adding more IoT devices in the scope of mainly large-scale IoT projects, the industrial markets of Industry 4.0 and IoT use cases and applications where a lot of data needs to be analyzed and leveraged, often also in an IT and OT environment as we, for instance, find them in IoT in manufacturing.