Edge Computing: the tactic to drive the future

Edge computing is recognized as the revolution of the frame that is placed closest to the source of the data. The cloud is a computing application where users have access to different computers, software applications, and IT-related information over the Internet from different data centers through a network connection. It is currently used to enter data into cloud systems. Data collected from online resources, such as Internet of Things (IoT) devices, is packaged for processing and then analyzed at the edge before the data is sent to a cloud or to your data centers. The Internet of Things is useful for collecting data because it is a system that interconnects and creates unique identifiers for digital machines, objects, computing devices, animals, and people. The data stored within the unique identifiers is then transferred over a network without the need for person-to-person or person-to-computer interaction.

Edge Computing benefits

There are numerous benefits that a user can gain from using edge computing. Using Edge Computing provides users with improved performance of available applications. Applications can achieve lower latency levels at the edge of edge computing, something neither the cloud nor data centers meet. Similarly, users can acquire real-time data analytics from a local device near their source. Due to this, the processing time for the user decreases as the data does not have to be sent to a cloud or data centers.

Additionally, network traffic is reduced as a single network is no longer used to transmit information to a cloud or data centers. Each source in computing has its own network closest to its source, dramatically reducing traffic.

Also, only the data that needs to be analyzed is transferred. In addition, the use of edge computing reduces the operational expenses of a cloud and data centers. It only requires managing the smallest local devices, which costs much less. It also helps during a poor and intermittent connection over IoT because it does not require connectivity to process and transmit data. Decisions can be made without a connection without waiting for a command from another location. This reduces travel time and wasted time. It also provides users with more security and reliability because data is transmitted closer to the edge through edge devices. Since data is transferred without interference from a cloud or data centers, less data is stored, making hacking more difficult for hackers.

Coca-Cola, for example, currently uses edge computing devices in its vending machines and dispensers that use sales data transmitted from customers from the edge to create 100 different drink combinations based on the popularity of carbonated and non-carbonated beverages among the clients. Customer behavior and trends are easily understood with the help of edge data that increases efficiency and satisfaction in responding to customer needs and demands.

Future projects with Edge Computing

Palo Alto, a city in California, is currently investing in an IoT project using state-of-the-art computing. The city is currently creating a program in which a parking space sensor would notify drivers of the availability of parking spaces. This smart parking technology will reduce air pollution and traffic congestion due to better management of available spaces. In addition, AT&T, a telecommunications company, is in the process of using cutting-edge computing to create new 5G service applications with higher speed, one-digit latency of milliseconds. AT&T recently launched an edge computing sandbox that allows them to test low-latency networks to improve user experiences for virtual and augmented reality, autonomous vehicles, and drones. It will further help with the transformation of autonomous cars. With edge computing, cars will be able to process and recognize patterns within the data stored by sensors. The saved data will also be closed for the vehicles, which will reduce the time to make a decision.


The new shift in the Internet of Things (IoT) is moving computing to the use of local networks and smart devices through edge computing. Analyzing the data collected close to its source is a profound game changer for machine learning. Due to the proximity to its source, the benefit enabled for its users is the minimization of latency. The data does not have to be sent and analyzed in the cloud; thus decreasing latency which further increases decision making. It also reduces the cost of transferring data over a network and managing expensive centralized servers. Any data these days is extremely vital and valuable because data-driven organizations are rapidly advancing. In addition, it supports these organizations by providing them with patterns and detected knowledge. Even though edge computing is still developing, now is the right time to dive into edge computing and access its benefits.

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