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.
The findings discussed in this report reveal what operators around the world are thinking, doing, and planning in the areas of efficiency, resiliency, workload placement, staffing, and new technology adoption.
Edge computing environments, including edge data centers, reset goals and customer expectations for the housing, protection and management of equipment, including cabling and network gear. In these environments, one-size-fits-all isn’t even a consideration. The concepts, approaches, and best practices described in this document position network administrators for success in establishing the technologies and techniques needed for managing computing at the edge.
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.
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.
Edge sites are typically smaller than traditional data centers, requiring far less physical space, and often turning up in places that weren’t originally designed for IT networks. Edge computing racks often are deployed in closets or repurposed rooms in hospitals, schools, or even military sites in the middle of the desert.
The growth of the IoT has been pushing telecom, data and computing services away from centralized locations like the TR to the outer edges of the network and closer to end users to minimize latency. These locations include manufacturing floors, warehouses, and multibuilding sites, such as school campuses, which may not have a dedicated room available for the network.
As data center engineers and ICT professionals brace for the demands of new technologies such as 5G, edge computing, artificial intelligence (AI) and the continuing growth of software-defined networking (SDN) across the enterprise landscape, they need to prepare data center infrastructure and cabling to support these initiatives while ensuring scalability and flexibility.
5G promises lightning-fast speeds, no lag time, and increased densities — a critical piece to make autonomous vehicles and smart cities a reality. So, why aren’t cars driving themselves yet? The answer is that even though the technology needed to transmit the data exists, there’s not enough power to get it there. Integrating distributed power to high-speed communications and IT nodes seems like a logical fix to the problem. This is valid in concept, but not so easy to implement. Because distributed power combines multiple renewable sources to provide flexible, efficient electricity, it can be somewhat difficult to match generation and consumption.