DartPoints’ eastern Iowa carrier-neutral interconnection point is Ready for Service. Conceived and designed in collaboration with local networks, associations and municipal entities, the new facility serves as a network ecosystem aggregation and meet-me point between carriers, content and applications to improve data delivery.
Join this free webinar to learn about the technological drivers for 400G optics and Edge Data Centers, what consequences these new technologies have on optical cabling, what Edge Data Centers are, and how potential connectivity solutions could look like. The webinar will also address the emerging 400G optical market and the challenges faced on the connectivity end.
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.
As organizations pursue the idea of running containers in edge computing environments, they’ll look to extend their Kubernetes deployments outside the data center. Many enterprises have different views of edge computing, but few rule out the possibility they’ll deploy application components to the edge in the future, particularly for IoT and other low-latency applications and Kubernetes as the ideal mechanism to run containers in edge computing environments — particularly those who have already adopted the container orchestration system for their cloud and data center needs.
Most ICT industry workers hear and use buzzwords such as 5G, IoT, IIoT, Edge, Cloud, Smart, Latency, Industry 4.0 and others. The problem occurs when the definition of one buzzword is driven by undefined definitions of others. This is the case when trying to define an Edge Data Center (EDC) — a definition that still eludes the industry.
UC Berkeley and NTT announced a connected campus pilot project that will leverage technology to “smartly” transform the UC Berkeley Parking and Transportation Department by analyzing use patterns, easing traffic congestion, and increasing pedestrian safety in the Bancroft Way area of campus. The pilot will incorporate NTT’s Accelerate Smart data platform and Dell Technologies’ modular data center infrastructure for edge deployments of high-definition optical sensors and IoT devices that monitor traffic-related issues.
Just a few years ago, many expected all the Internet of Things (IoT) to move to the cloud—and much of the consumer-connected IoT indeed lives there—but one of the key basics of designing and building enterprise-scale IoT solutions is to make a balanced use of edge and cloud computing. Most IoT solutions now require a mix of cloud and edge computing which can alleviate latency, increase scalability, and enhance access to information so that better, faster decisions can be made, and enterprises can become more agile as a result.
TIA has released a series of new informational briefing papers from its Edge Data Center Working Group. The papers are a first step towards creating an industry-driven framework for future standards development. Each paper outlines a different focus area for new Edge Data Center implementations including site selection and survivability, to security, thermal management, and operations and maintenance.