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Is Edge Computing the future?

Article by Chinedu Eze

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Edge Computing and Chinedu Eze
Chinedu Eze

We can roughly describe edge computing as the processing as well storage of data in where it is created or even generated from devices such as computers, smartphones, etc.

The power of computing has grown amazingly since the 1970s, with processing power doubling and lowering the costs annually.  Data warehouses and server farms were designated to be the last resort solution for capacity and speed. Ironically, the pendulum is now swinging back to the old-school devices.

A glance at the computing evolution will help you comprehend that computing swung to robust networks thanks to existing powerful devices.

Business models are now built on fast networks and offsite storage concepts such as SaaS products, YouTube, Spotify, and other storage devices such as Chromebooks.

However, even though cloud-based computing is great for many things, there are some drawbacks because they heavily depend on data warehouses and networks.

Edge Computing Future

With time, Edge computing’s future will significantly improve alongside other advanced technologies such as AI, Augmented reality as well as satellite mesh.

Through access to a plethora of fast networks with more power and capacity, there is a high possibility to open up amazing futuristic possibilities. That said, here’re some outstanding reasons edge computing would amaze our tech world in the near future.

Resource and Energy Efficiency

The world needs advanced and high-tech computing solutions in this era to help mitigate climate change and save finite resources. For example, we can easily farm in drought-stricken areas by using measurement and drip monitoring systems. Before this, it was very costly to try to outfit a 100-acre farm. These systems are now making independent decisions that will balance the ground moisture with existential water resources.

Healthcare

Over the last decade, there have been numerous software-enabled healthcare improvements. Nowadays, medical devices, apps, as well as data permit doctors and healthcare machines to treat and monitor patients both from far and near.

With the improvement of medical devices, doctors and machines can sense a lot of things from a patient’s body and even appropriately respond in real-time.

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Nonetheless, for such devices to succeed, they require powerful cloud and edge computing which isn’t existential momentarily. When high-end technology reaches there, it be ascertained that there will be features such as;

  • Emergency responses and calls before the condition worsen
  • Crucial signs response and monitoring
  • Personalization of health nudges
  • Cancer cell response and monitoring
  • Electrolyte imbalance notification and monitoring

Apart from real-time usages, there are several benefits of collecting health care data using AI lens and the cloud. Your doctor, for instance, can examine you after some months by checking your vital patterns and signs and then give better recommendations.

Smart cities and buildings

Interestingly, edge computing has taken autonomous cars by speed. Nonetheless, this life-cutting technology would be more outstanding when connecting other structures, buildings, and cars. Such smart ecosystems can combine the advantages of autonomous driving then turn typical cities into more robust powered machineries.

Consider this. Nowadays cars that are looking for spaces to park account for over 30% of city traffic.   What if a vehicle could easily communicate with a specific parking garage of their choice and then reserve their sport. Afterward, they get optimal routes then self-park. This relieves a lot of driving frustration and reduces traffic by over thirty percent. Also, it is environmentally friendlier and safer than most of the current existential options.

Edge computing future is speedily approaching. With processors becoming very powerful, storage is now cheaper, and access to the network improves significantly.  Therefore, numerous opportunities can transform the world.

Extend IoT and AI

As earlier stated, a plethora of current computing is happening on the edge in retail locations, factories, and even hospitals. Most of it operates on very sensitive data and power very important systems which should function safely and reliably. 

Edge Computing helps drive vital decisions on such core systems. If you possess an opportunity for IoT and AI tapping into such systems, there’s also an opportunity for the edge.

However, creating such experiences need advanced apps, AI, and analytics which are best developed in the cloud. If edge data cannot be sent to the cloud-like when the cloud can be used for generating synthetic data, the case is also valid.

Creates Peculiar Value in Partner Ecosystem  

By controlling the edge implies that you can control data access at the closest action point. This peculiar position, in turn, can be used to create various differentiated services that can be utilized amongst partners and across an entire business.

Technologies That Make Edge Computing Powerful

XR

XR, also known as extended reality, presents an immersive interface for users collaborating or working in virtualized environments. Interpolate edge, and users can find interactive and detailed experiences.

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Heterogeneous Hardware

Data processed at the edge are speedy and use lesser power. Utilizing this incredible hardware on edge embeds efficient computing within physical environments. It also speeds up responsivity.

Privacy-Preserving Technology

This includes hardware and techniques that permit data to be analyzed without exposure to its crucial aspects. `Examples are differential privacy, federated learning, homomorphic computation, and secure enclaves. Typically, data is encrypted when it is transmitted and stored. However, privacy-preserving technologies safeguard data even via the computing stages rendering it more useable.

Robotics

This is configurable to act depending on updates and signals at the edge. While surgical controls occur directly on a robot, edge coordinates with the cloud then determine the deployed controls on a robot and what data was used as well as what info is transmitted ultimately back to the cloud.   

Conclusion

The truth is edge computing is very viable but is still at an infant stage. What is thrilling about edge is typically its capability of driving a lot of technological leaps speedily.

Therefore, you need to start thinking about how your company can use the edge computing paradigm to make your business more efficient, innovative as well as get value from ecosystem partnerships.

In conclusion, it is only right to say that edge computing can be deemed crucial because it will create novel and enhanced ways for enterprise and industrial level businesses to maximize operational safety, efficiency, and performance. It is also crucial to automate every core business process while ensuring all-around availability.  So yes, edge computing is the future!

Author’s Bio:

Chinedu Eze is an experienced IT solution architect and a longtime enthusiast of tech innovations and trends, especially its capacity to cross over into the realms of health and social interaction.

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@TechEconomyNG connects past-present-emerging technological impacts on Businesses, People and Cities. All Correspondence to: [email protected]

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  1. Pingback: Eight Ways Edge Computing Can Future-Proof Your Organisation – TechEconomy.ng - TechEconomy.ng - UrIoTNews

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