The Evolution of Edge Computing

All popular conventional technology and practices have their origins in the first industrial revolution. Some of the most notable inventions and innovations, from steam engines and power looms to sewing apparatus, were introduced during that time.

The new-age industrial revolution we are currently undergoing is driven by supercomputing devices and systems a century later. If the conveyor belt symbolizes the first industrial revolution, the intersection of physical and virtual worlds through AI, applications of IoT, data science, cloud and edge computing mark the revolution’s 4th iteration.

The perpetual need to exceed limits in outcome delivery, processing power and storage increases as we originate more data collectively. More sophisticated and futuristic modules are required as the possibilities with data and its use scale higher by the day.

That establishes the need for edge computing. This article will highlight the role of edge computing in powering current and future industrial revolution in technology.

The Importance of Edge Computing

Data-generating devices are always located remotely from data-processing systems or centers. For example, a Texas data factory could have a processing center in Poland, which hinders the retrieval of information and data logistics. Besides delaying innovation and obstructing automation processes, this handicaps productivity as well.

For such situations, edge computing comes in handy. It is a shared computing system that sets the stage for low latency by inching processor units and data storage closer to the source, solving major cloud computing complications. It minimizes latency during the data and information transfers among systems.

As the Internet of Things becomes crucial, enterprises need to step up their bandwidth, latency and privacy concerns. Edge computing facilitates real-time computation aptitudes.

Edge computing use cases range from enterprise healthcare solutions to autonomous vehicles requiring instant data processing. The technology integrates data processing and storage as smoothly as possible.

According to research statistics, the value of edge computing in 2019 was $3.5B. The projected value by 2027 is $43.4B, based on the technology’s power and potential for expansion. Business research organizations also forecast that the technology will generate about 75 percent of enterprise-based data based on the evolution of edge computing.

Benefits of Edge Computing in IoT

The Core Element of Smart Cities

The most redundant tasks are attended by intelligent automation and management through idealistic systems visualization. These include automatic utility bill generation and payment, electronic alarm and sensor systems, water and gas taps and more.

Improve Autonomous Vehicles

While cloud platforms are ideal for processing, storing and retrieving data, autonomous vehicles may need seconds to make sensible driving decisions during emergencies like calculating imminent collisions. Data transmission between the cloud, the car and the decision-making module may take longer than required to avert life-threatening accidents.

Edge computing facilitates split-second decision-making with the processing units installed in autonomous vehicles. Real-time computer vision footage can also be disseminated without any complications.

Next-Generation Networks

5G technology and edge computing are two peas in a pod. While the latter substantially minimizes latency and facilitates supercomputing, the former allows for real-time massive data transmission. Incorporating both technologies will drive the production of faster and more precise autonomous vehicles.

Patient Management and Healthcare Records

With edge computing, patients can receive real-time alerts, and physicians or caregivers can receive emergency requests whenever necessary. Because healthcare records are typically interoperable, cloud storage may open up room for privacy and confidentiality breaches. Such instances are eliminable using edge computing, and their security is optimized with data stored on-premises.

Conclusion

Besides these use cases, the content creation and cloud gaming sectors have also been revolutionized by edge computing. It reaches a wide range of business applications across multiple market and enterprise sizes. All spheres needing real-time, rapid data processing will inevitably adopt the technology.

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