Introduction
The next era of computing is here. As we move from cloud to edge, a new architecture for computing is emerging. Edge computing is the process of moving data processing closer to the source of the data. This can be done by deploying applications and services into a network near where users interact with them or by moving data closer to its source before processing it back in at another location. In this article, we’ll explore what edge computing is and how it will transform our world as we know it today.
Edge computing is the process of moving data processing closer to the source of the data.
Edge computing is the process of moving data processing closer to the source of the data. This can be done by processing at either end of a network (or cloud), so that you don’t need to send all your data back up to a centralized location, saving time and money in the process.
Edge computing is also known as fog computing because it sits between two different layers: The cloud layer and IoT devices on one side; servers and clients on another side. Fog/edge technologies include things like edge gateways, which act as proxies for IoT devices; local storage resources such as flash memory; machine learning algorithms running directly on edge nodes instead of in centralized clouds
The Internet of Things (IoT) is a key driver for edge computing, as billions of devices will soon be connected to it.
The IoT is a key driver for edge computing, as billions of devices will soon be connected to it. The IoT is a network of physical objects that are embedded with electronics, software and sensors, enabling them to collect and exchange data about their state (e.g., temperature), status (e.g., location) or environment (e.g., air quality).
These devices are sending data over the internet or other networks in real-time: they are sending data to the cloud. But what if you want to store this information locally? Or in certain cases where bandwidth isn’t available? In those scenarios, you can use Edge Computing technology which allows you offload some processing tasks from your cloud infrastructure onto an edge device closer to where they’re needed – such as at your home or office building – so they don’t have such high latency times as before; thus making applications work faster than ever before!
Edge computing can be used for a variety of purposes, including AI and machine learning, IoT and smart cities, and 5G connectivity.
Edge computing is a powerful tool that can be used to solve a variety of problems. It can be used for AI and machine learning, IoT and smart cities, or 5G connectivity. It’s also an effective way to get data from the edge back into the cloud without causing congestion on the network.
A new era of computing is emerging.
As you may have guessed, edge computing is the next step in the evolution of computing. It’s a natural progression from cloud computing and a way to get data closer to its source–which, in turn, makes it easier to process and analyze.
Edge Computing Benefits
The benefits of using edge computing include:
- Faster response times for applications that require immediate analysis or decision making (i.e., autonomous cars)
- Cost savings by reducing latency between users and their data sources
Conclusion
Edge computing is a new way of thinking about computing, and it has the potential to change everything. The Internet of Things (IoT) is already transforming how we use technology in our daily lives, but it’s only going to get bigger as more devices become connected. With edge computing, these devices can operate more efficiently and securely than ever before while also performing tasks that would otherwise require large data centers or even entire clouds–making them cheaper and more accessible for everyone involved.
