Technology Behind Fastest Data Processing


Increasing application of edge computing technology for faster processing of data.

Introduction to Edge Computing

Edge computing is a practice of distributed information technology architecture where data of the clients are processed at the fringe of the network, as close to the original source as possible. To be precise edge computing moves some percentage of storage and compute resources out of the central data center and bring it close to the source of the data itself, therefore the work is performed where the data is actually generated, unlike traditional computing where raw data is transmuted to a central data center for processing and analysis which is time taking.

The technology of edge computing is growing because of the advantages offered by it to the companies. It helps in getting the exact information in the fastest way. 75% of data produced by an enterprise can be created and processed outside of a traditional centralized data center or cloud, only it is required to move the data and storage as close as possible to the edge of the computing where the data is actually being processed. Edge computing technology is used in manufacturing, farming, workplace safety, network optimization, transportation, retail as well as improved healthcare services.

Moving forward edge computing allows organizations to increase compute capability more rapidly and at a lower cost by scaling their IT infrastructure. This further helps an organization in a greater collection of data including the collection of IoT data to make progress rapidly to better serve customers.

This is the reason why IT industries have shifted their focus from traditional computing to edge computing. The concept of edge computing is not a new concept, rather it is entrenched in the old ideas of remote computing.

 

Increasing Application of Edge computing Technology

IDC conducted a survey which was sponsored by Lumen Technologies and Intel Corporation based on edge computing. According to the survey two-thirds of global IT leaders are leveraging edge computing technology where data processing takes place closer to the edge of digital interaction. The survey also predicted that by the year 2023, over 50% of new IT enterprises will implement edge computing.  In the middle of the 4th Industrial Revolution which is driven by IoT, 5G, AI, and machine learning, it has become mandatory for every organization to accelerate their speed of growth and built new digital experiences.

 

Importance of Edge Computing

Modern technologies produce a huge quantity of data that offer organizations massive competitive benefits which the organizations can effectively and efficiently obtain from various sources, determine and analyze it and then can react to those insights. But to get success organizations need the data cycle to accelerate at a high speed and that is where edge computing enters.

The world is highly connected, smart devices are flourishing, new technologies are evolving and customer interaction is becoming more vital than ever, and, in such circumstances, speed and potentiality matter. High inactivity disturbs the flow of data and reduces the performance of the application and thus all these affect the operation of a business.

In such a case edge computing plays an important role as it moves data and storage resources closer to the point from where data is originally produced, thus lessening the distance and time required for critical information to move. This results in faster access to data and also reduces the cost which is required for data movements.

Faster data-driven insights, lead to the development of advanced, innovative products and services and also digital experiences in a short period of time.

It is prominent that, real-time access to data, enables organizations to increase the potential level of next-gen technologies and applications. So, it is not surprising to consider that edge computing is a planned and useful investment for every organization.

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