Introduction
Edge computing is a type of distributed computing that is performed at the edge of the network. A network edge can be defined as a point where data enters or exits a network. Data stored at an edge location can be processed locally, rather than being sent to an internal facility for processing. This approach reduces latency that occurs when data must travel across long distances and saves costs by reducing reliance on expensive bandwidth. Edge computing is often used in situations where large amounts of data need to be processed quickly, such as in autonomous vehicles or drones collecting information about weather conditions at sea.
What is Edge Computing?
Edge computing is the process of performing data processing at or near the location where the data is generated. It can be used to improve performance, reduce latency and increase security. Edge Computing is also known as Fog Computing or FOG (foggy) computing.
Edge Computing has applications in a variety of industries including IoT, mobile computing, cloud computing and more!
What Is Edge Networking?
Edge computing is the use of a distributed network of computing resources. The term “edge” refers to the fact that these resources exist at the edge of your network (in other words, near where data is generated) and are used for processing or storage before being passed back to the cloud.
Edge networks are often built using edge devices such as sensors and actuators, which collect information about their surroundings in real-time. An example would be an autonomous car with cameras monitoring its surroundings; those images are processed locally before being sent back to headquarters via 4G/5G networks or satellite links so they can be analyzed by an AI system like IBM Watson.”
Why Do You Need an Edge Network?
Edge networks are more secure, efficient and cost effective than centralized networks.
- Security: Edge network security is built from the ground up to protect against attacks from hackers, malware and other threats. With an edge-optimized infrastructure, you can reduce your risk of a breach by deploying in-house encryption technologies such as public key infrastructure (PKI) or tokenization services so only authorized users have access to sensitive data.
- Efficiency: By moving computation closer to where data is generated or accessed–such as within office buildings or retail stores–you can process information faster while also reducing bandwidth usage on your network backbone. This means better performance for applications like video conferencing that require low latency connections between participants over long distances; it also translates into lower costs since less energy is needed on servers located farther away from where they’re needed most often by end users who need them most often.* Flexibility: The ability for devices at all levels within an organization’s ecosystem – whether it be individual employees working remotely or entire departments working together remotely – makes collaboration easier than ever before possible thanks to real-time sharing capabilities between parties regardless of location (or even time zone).
How to Build Your Own Edge Network
Edge computing is a new way of looking at the world. It’s about making data and computation more accessible, flexible and efficient for everyone. We’re all familiar with cloud computing–the idea that you can use remote servers to store your data and run programs on it–but edge computing takes this one step further by bringing those resources closer to you in order to improve performance.
To build an edge network, you’ll need:
- A network of computing resources (servers) that are close enough together so they can communicate quickly over short distances (like within the same building). Your local edge server(s) should also be able to access other resources in the cloud when necessary; these connections may require special equipment like optical fiber cables or satellite links depending on how far apart they are from each other.* The ability to access these resources remotely via secure internet connections.* A security system so nobody else can get into them without permission.* A way for administrators who manage them (like IT professionals)
An edge network is a network of computing resources that is distributed across a geographical area.
Edge computing is a way to improve performance of applications by moving them closer to the source of data. Edge computing can be used to improve the performance of many types of applications, such as those that process large amounts of streaming video or sensor data from remote locations. Edge networks are made up of computing resources that are distributed across a geographical area, usually within close proximity to where they will be used.
Conclusion
Now that you have a better understanding of what edge networks are and why they’re important, let’s look at how they work. In the next section, we’ll cover some of the most common edge computing use cases and how they can be applied to them.
