Edge computing is displacing on-premises data centers.
FREMONT, CA: Edge computing is becoming more “edgy.” The technology that enables the relocation of computing and processing resources closer to the data being examined is eroding the relevance of on-premises data centers—and it is deteriorating rapidly. According to Gartner, around 10 percent of company data is currently created and handled outside centralized data centers or clouds. By 2025, that figure will have risen to 75 percent.
While the edge is now a significant part of your infrastructure, it’s reasonable to predict that it will increasingly take over data processing and delivery functions in an increasing number of industries—and it will do so in areas where you never imagined data processing could occur.
Edge computing will pervade the landscape—and even the farm: Upgraded edge computing capabilities enable the technology to be used in a broader range of industries—those located in remote locations, difficult-to-access terrain, or simply hazardous conditions. It’s one of the primary benefits of automation, cobots, and the Internet of Things—keeping humans safe and secure.
Agriculture is one of the most promising applications of edge computing. Farmers use edge technology to monitor water use and animal activity, determine where and how much fertilizer to apply, examine soil quality, and monitor crop development. Tractors, as well as sensors covering fields, can become part of an edge network.
Filtering cutting-edge data can provide a competitive advantage: The more intelligent edge computing becomes, the more noise it may be able to filter out that a central hub would have to process and sift through for value.
This advantage can provide a competitive edge for the Mercedes-AMG Petronas Formula 1 team. Each car’s hundreds of sensors collect real-time data on performance—terabytes of data per race. This assists them in maintaining the cars, ensuring driver safety, and formulating race plans. However, what about the work expended to eliminate less valuable telemetry? When milliseconds can mean the difference between winning and losing, the team wants to deploy smarter sensors that perform additional processing at the edge, providing engineers with more critical data.
It illustrates how optimization and performance monitoring can be transformative not only for Formula 1 but also for several other business achievements.
The edge is becoming “foggy”: As the term “fog computing” implies, this is the “edge of the edge.” The concept is similar to edge computing. It moves to process to the edge—but it goes farther in that it does not rely on the cloud but instead does significantly more computation, storage, and communication locally at the edge. Traditionally, edge computing has been about separating useless data from valuable data.
This UrIoTNews article is syndicated fromGoogle News