Due to digitalization, there has been an immense proliferation of data leading to latency and issues with handling such volume of data. Hence, enterprises started searching for options to ease the process of data managing and landed up with the technology of edge computing. Edge computing computes closer to the source data and successfully addresses latency, privacy, and data control. Its capability to handle high-bandwidth content and real-time applications bring it closer to the end-user. By decreasing network traffic, it also reduces network costs.

How edge computing helps

Edge computing acts as a path between the source data and the cloud data center. Primarily it handles network switching, load balancing, ensuring security, and routing. The frequently used data is analyzed, processed, and stored by the edge layer while the remaining is stored in the cloud for future reference and processing.

What makes edge computing popular?

Due to massive data explosion and an increase in the number of cloud users, it is gaining popularity. With innovations powered by artificial intelligence (AI), both cloud and edge computing are essential IT infrastructure. According to industry experts, by 2025, the technology of edge computing will have a global market value of $3.24 billion.

Secured network

Internet of things (IoT) can connect devices and build a system; however, it is susceptible to cyber threats to a great extent. This is where edge computing plays an integral part in securing the network from any external attacks. The pattern of the distributed architecture of Edge Computing makes it nearly impossible for anyone to disrupt the system. Hence, edge computing adds reliability and dependence to business.

Improvement in speed

Speed is one of the core reasons for the growing popularity of edge computing. It helps to improve network performance and speed of data processing. This reduction in latency directly impacts end-users; hence it cannot be ignored.

Scalability and growth

Organizations looking forward to enhancing their computing capabilities can do so either through expensive data centers or through the cost-effective solution of edge computing. A combination of IoT devices and edge computing technology can offer growth flexibility and efficiency to enterprises at an affordable price. With the assistance of edge computing, relevant information can be quickly processed and analyzed for framing strategies. This helps organizations to identify the potential market and offer efficient services.

Noise reduction

Edge computing also contributes to noise reduction. This helps to prioritize data and focus on critical tasks. This enhances the efficiency of data analysis, storage, and processing.

Enterprises that adopted edge computing

Companies dwelling in autonomous vehicles generate a massive database, and edge computing is essential to handle it. Especially with the arrival of the 5G network, deploying computing capabilities has become easy. Again, there has been considerable growth in AI-powered voice assistants. Here deployment of edge computing is necessary to reduce data vulnerability, latency issues, and an improvement in end-user experience.

Conclusion

Hence it can be concluded that edge computing is becoming increasingly important since the growing data volume is already exceeding network capacity. Implementation of edge computing can ensure continued advancement of IoT adoption and execution.

- Kathakali Basu
Content Writer
Infoholic Research