How is Edge Computing Helping Cities Become Smarter?
Data can be processed by edge solutions form where it is collected, providing insights to the cities faster.
Fremont, CA:More computing and data processing is happening at the network edge in cities across the country, where the devices are located. The smart cities are starting to embrace edge computing, which enables faster data analysis and therefore provides insights in a more timely and relevant way. In a report of 2018, it was stated that approximately 10 percent of enterprise-generated data was developed and processed outside a traditional centralized data center or cloud. Edge computing also allows agencies to harness the power of the cloud to the network edge, specifically to the areas where they are unable to use it before. The agencies can perform data analytics and processing and gain insights at the edge before the data being routed back to centralized data centers for further analysis.
The cities are deploying cloud computing solutions at a rapid speed, but now they must use and manage devices and network assets out to the network edge. It includes various Internet of Things sensors at the heart of smart cities platforms, Infrastructure, monitoring traffic data, water levels, and other environmental factors. Instead of going to a single centralized data center, edge computing data goes to a nearby “cloudlet,” which is important a small data center that might consist of a single rack of computers in a closet or a tiny disk drive in a vehicle that employs multilatency, elasticity, and other cloud computing features.
Las Vegas Improves Traffic Safety Via Edge Computing
Las Vegas is leveraging Dell’s edge computing software and sensors from NTT to monitor traffic sensors and analyze data to better road safety, especially the one-way-streets. Vegas has been trying “new infrared cameras and lidar-based sensors that track movement without identifying individuals behind the wheels or waking and pedaling down the street. The city was well aware that many accidents are occurring; therefore, NTT’s sensor could detect collisions and the near misses, with the help of their lidar, a laser-based system that is supposed to measure the distance and is often used in autonomous vehicle tests. This NTT sensor collects audio information to help in determining a car’s location and uses Dell’s edge computing software to compute data at the network edge on the sensor.
Although edge computing is an emerging technology in various cities, it just takes traditional computing outside of data centers and into the world where the residents work and live.
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