
Manufacturers need to embrace edge computing in order to keep up with Industry 4.0. As technology continues to advance, manufacturers need fast and efficient solutions.
Manufacturers need to embrace edge computing in order to keep up with Industry 4.0. As technology continues to advance, manufacturers need fast and efficient solutions.
The Internet of Things significantly stirs up interest in the topic of edge computing in recent years. The fact is that edge computing has high hopes for unleashing the potential of ever-increasing volume of data that is produced by IoT devices. By 2025, this volume is expected to reach a whopping 73.1 ZB, but to extract value from it, data flows respectively need to be competently allocated, managed, and analyzed. Edge devices might be helpful here.
This article explains which environments require edge computing, which cases of IoT + edge tandem are the most promising, and how to distribute working loads competently over the IoT ecosystem.
Deploying and maintaining an edge data center requires specific focus on both communications infrastructure as well as the equipment that houses and protects that infrastructure. Add to the mix that the term “edge” can be defined in a number of ways, and meeting customer expectations requires significant planning and project management during an edge deployment. This On Topic Report, focused on Edge Networking, acknowledges the reality that edge can mean different things to different users. In that vein, it provides practical information about the edge’s place in the larger network landscape, and delivers useful information about deploying the right solution for users’ needs.
In today’s hyperconnected world, companies need a way to scale and analyze data faster, cheaper and better. The only way to do that is to move out of the cloud and on to the edge of the network, where most of the future data will be generated, analyzed and processed.
In today’s hyperconnected world, companies need a way to scale and analyze data faster, cheaper and better. The only way to do that is to move out of the cloud and on to the edge of the network, where most of the future data will be generated, analyzed and processed.
According to research studies, the warehouse automation market is forecast to reach $ 27 billion by 2025. 5G and edge computing is driving down the cost for autonomous mobile robots (AMRs) because compute is more available closer to the source of the data being generated by the AMRs.
Enterprises are increasingly complementing their cloud-based IoT solutions with edge computing to accelerate the pace of data analysis and make better decisions, faster.
Edge computing installations have become increasingly business critical. Deploying and operating IT at the edge of the network comes with unique challenges. Solving them requires a departure from the traditional means of selecting, configuring, assembling, operating, and maintaining these systems.
This paper describes a new emerging model that involves an integrated ecosystem of cooperative partners, vendors, and end users. This ecosystem and the integrated micro data center solution it produces, help mitigate the unique challenges of edge applications. Download this white paper to help mitigate edge challenges.
Edge Computing: The growth of IoT and the empowerment of real-time analysis in edge devices are helping to create a new era of technological efficiency, cost control, and security. That’s a great value proposition for businesses that want to stay competitive and lead their markets.
When planning an Edge Data Center (EDC) deployment, the need to address availability of planned workloads to ensure resiliency is a top priority. The key characteristics of an EDC can be significantly different than those that top the list for larger enterprise or multi-tenant data centers. To help balance the costs and operational aspects of any EDC strategy, this paper outlines a number of critical questions that should be addressed to ensure resiliency at the edge.