When we see 5G- connecting the world and IoT as basic necessities of human life in this century, we see an explosion in edge computing use cases. So, we have to understand what edge computing is. How it is beneficial for developers, and what challenges they might face.
Edge computing
Edge computing is a process of information processing located close to the edge where things and people produce or consume that information. At the basic level edge computing works for computation and data storage. So that real-time data don’t suffer any issues that deteriorate the performance of the application.
Internet of Things sensors gains traffic and fuel rapid data growth. They place huge pressure on central cloud servers and start to suffocate network capacity. To see and solve these issues, edge computing brings computers close to these IoT devices. Computing demands are migrating closer to where the device specifies its location or where the data is consumed. It also necessitates data processing to move closer to the devices as well.
How does edge computing work?
To create a cloud edge, operators develop multiple edge data centers rather than a single cloud data center. It enables a number of new applications by bringing computation closer to the devices. Out of these, some are autonomous driving, high-end cloud gaming, and remote 3D modeling, to name a few. Moreover, all of these applications necessitate extremely low latency, which brings computation closer to the edge, making edge networks the preferred architecture.
It appears to be the ideal answer since it processes data and even analysis it or near the original data source. Lowering latency, lowering bandwidth costs, and making the edge network less prone that it can fail at a single point. Analysts predict that by 2025, there will be 30.9 billion IoT devices in the market, as there were 13.8 billion in 2021. Thus, increases in IoT devices will place a huge strain on cloud data centers, necessitating the use of edge IoT to keep up with the demand.
Need for Edge computing
The development of linked devices such as smartphones, tablets, and gadgets, as well as the recent surge in online content consumption, may eventually overwhelm today’s centralized networks. According to the International Data Centre, there will be 55.7 billion connected devices worldwide by 2025, with 75% of them connected to an IoT platform. As per IDC forecasts, linked IoT devices will create up to 73.1 ZB data by 2025. (up from 38.3 ZB in 2021). While video surveillance, safety, and security will account for the majority of this data, industrial IoT applications will also contribute significantly, increasing the need for cloud edge and edge IoT.
However, with such an upsurge in data, today’s centralized networks may eventually be swamped with traffic. Edge computing addresses the impending data surge with a dispersed IT design that moves data center investments onto the network boundary.
- Reduce the amount of transmitted data and stored data in the Cloud.
- Reduce the Signal to Noise Ratio
- Reduce the Lag Time in Data Transmission/Processing
- Reducing costs is a real benefit for businesses to help save them money.
Edge computing use cases and examples
- Self-driven cars: To ensure road safety, automatic cars need to make decisions in real-time without having to wait for a second for instructions from a server.
- IoT devices: IoT devices such as mobile phones, and gadgets can provide real-time insights by running on device code rather than on the cloud.
- Medical monitoring devices: With lives at stake, instant updates are needed without even a second delay.
- Manufacturing: Edge computing allows the use of technologies like environmental sensors which monitor the quality of air, water, and soil. It also enables the user to monitor and utilize analytics to find errors in production, and improve product quality.
- Retail: Business opportunities can be identified using surveillance, CCTV, stock trading, sales data, and other real-time business updates.
Goals for 2023
Our organization i.e TriColor Initiative aims to deliver multi-access edge applications. And also, a multi-access convergent platform for wireless and wireline edge computing.
It is a greater goal of enabling major enterprises, citizen networks, cloud firms, and telecommunications to offer cutting-edge experiences to their customers. Our company’s objective is to use technology and its sustainability to build next-generation connected experiences that will transform people’s lives.
