Edge computing

Edge Computing is immensely transforming the way data is handled, processed, and delivered from millions of devices across the globe. The boom and explosive growth of internet-connected devices along with the need for applications that require real-time computing power drive edge-computing systems.

Faster connectivity technologies like the wireless 5G network are paving the way for edge computing systems to boost the creation and support of real-time applications like video processing, analytics, self-driving cars, AI, robotics, to name a few.

Although cloud computing still continues to play an important role in modern network architecture, the endless possibilities with edge computing are forcing companies to rethink their IT infrastructure approach.

What is Edge Computing?

Traditional cloud computing networks are centralized in nature. This means that all of their data is being gathered on the outermost edges and then transmitted to the main servers for processing. However, IoT had changed this methodology and was quite powerful in itself to gather, store, and process more data than ever before. This allowed companies to optimize their networks and relocate processing functions closer to where the data is gathered—thereby reducing the time taken to analyze and real-time application.

Since the data does not really have to travel to the central server anymore for an execution command, edge computing networks reduce the latency, thereby enhancing performance.

Five ways Edge Computing can solve big data problem

1. Speed

Edge Computing

Speed is vital to the core of businesses. The implication is strong as even a millisecond slowdown in a financial sector’s dependency on high-frequency algorithms can result in severe consequences. Similarly, losing a fraction of a second in the healthcare industry can result in a matter of life or death.

A great benefit is that since IoT edge computing devices process data locally or in nearby edge data centers, the information they collect doesn‘t have to travel far. It is said that by the end of 2020, the world is expected to generate up to 44 zettabytes of data. One zettabyte equals a trillion gigabytes. With such an amount of data, digital traffic jams are quite guaranteed.

Therefore, by processing the data closer to the source and reducing the physical distance, edge computing can greatly reduce the latency. This will result in higher internet speed for end users. The speed advantages of edge computing cannot simply be overlooked.

2. Security

Edge Computing

As we discussed above that the traditional computing architecture is centralized, it is especially vulnerable to DDoS or Distributed Denial of Service attacks and power outages. Edge computing rather distributes the process, storage, and application across a wide range of devices and data centers. This makes it difficult and challenging for any disruption to take down the entire network.

However, there is a genuine risk that IoT edge computing devices can be used as an entry point for cyberattacks, malware, or other intrusions to infect a network from a single weak point. But it is noteworthy that the distributed nature of edge computing architecture makes it easier to have security protocols that can seal off those portions without shutting down the entire network. A quality edge center offers a variety of tools that clients can use to secure and monitor their networks in real-time.

3. Scalability

Edge computing

As companies grow, and the amount of data consumed explodes, building a dedicated data center becomes quite an expensive venture. If business growth exceeds expectations, they may not be able to capitalize on other areas due to insufficient computing resources. That’s why edge computing solutions have made it easier for businesses to scale their operations. Edge systems allow companies to leverage devices and expand their edge networks in terms of reach and capability.

The flexibility of not having to rely on a centralized infrastructure allows businesses to adapt quickly to evolving markets and scale their data and computing needs effectively. Edge computing provides a cost-effective route to scalability and also eases growth cost as each new device does not necessarily impose substantial bandwidth demands on the core of a network. 

4. Versatility

Edge Computing

The scalability of edge computing makes it quite versatile in nature. When companies partner with local edge data centers, they can easily target desirable markets without investing in expensive infrastructure. This is highly valuable for providers of content who require uninterrupted streaming devices.

In addition to this, edge computing also empowers IoT devices to gather massive actionable data. Thus, rather than waiting for people to login with the device and interact with servers, edge computing devices are always connected and are constantly generating data for future analysis. This will help powerful analytics and Machine Learning programs to identify trends and notable data points. Companies can, therefore, make better decisions and meet the market needs.

5. Reliability

It comes as no surprise that edge computing also offers better reliability. With IoT edge devices and data centers located closer to the end-users, there is a lesser risk of network issues in a distant location. Additionally, it also reduces the amount of data flowing to and from the primary network and ensures a faster, seamless experience for their customers who want to access content and applications on-demand. Effectively implementing IoT edge computing devices and edge data centers into a comprehensive architecture can, therefore, provide unparalleled reliability.

The future of Edge Computing

Shifting data processing to edge computing networking can help companies take advantage of improved network speeds and enhance customer experiences. The scalable nature also makes it an ideal solution for fast-growing, agile companies, thereby providing flexible and reliable services.

Edge computing will continue to play an important role in companies. With an explosion in internet-connected devices hitting the marketing, innovative organizations can leverage what is possible with edge computing.

Want to know more about real-time edge computing solutions? Let us know in the comments below.

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