Edge Computing Definition & What It Does To Reduce Latency

Introduction

The biggest problem with cloud computing is latency. The more data you send to the cloud, the longer it takes to process and return it back to you. This can cause a huge delay in your business that could cost you millions of dollars every year! Luckily there’s an easy solution: edge computing.

What is Edge Computing?

Edge computing is the process of moving data closer to the source. In other words, it’s a network architecture that allows you to improve performance and reduce latency by distributing computing tasks across multiple devices at various points in an IoT network.

Edge Computing vs Fog Computing

Edge computing is also known as fog computing because it sits between cloud and fog layers in a multi-tier IoT architecture (fog represents all data transmitted through an edge device). While both technologies use similar principles, they differ in their use cases:

• Edge Computing – This refers to processing locally on mobile devices or small-scale networks such as those found in smart cities or smart buildings where there may not be enough bandwidth available for sending information back up into the cloud before performing any processing tasks on it first; this could mean everything from controlling lights using voice commands through Siri/Google Assistant integration into every room possible so no one has access unless they have permission granted beforehand by whoever owns those particular rooms within each building complex itself (i.e., apartment complexes).

Why are you talking about edge computing again?

You’ve probably heard the term “edge computing” before. It’s a buzzword that’s been around for a while and has been popping up more frequently in recent years as companies look for ways to reduce latency and improve their business performance.

Edge computing is an approach to distributed computing that shifts processing closer to where data is generated or consumed by users. This reduces latency (the time it takes for data packets to travel between two points) between applications, services, devices and sensors–allowing them to respond faster than ever before. But what exactly does this mean? Let’s dive into some details:

How do you address latency issues with edge computing?

Edge computing is a method of reducing latency by moving data closer to the user. Latency refers to a delay in communication between two systems, which can cause problems with real-time applications such as IoT and 5G.

Edge computing is often referred to as fog computing because it sits between cloud and endpoints (devices). It allows for processing closer to demand sources such as smartphones, tablets and sensors–thus reducing both bandwidth requirements and latency issues associated with sending data across long distances from one place on Earth to another via satellites or fiber optic cables in space

How can I reduce latency in my own business?

With the help of an edge computing platform, you can reduce latency in your own business. An edge computing platform allows you to better manage the flow of data and resources between your devices and the cloud, allowing them to communicate at speeds faster than ever before.

There are several ways that businesses can use an edge computing platform:

• Use a cloud provider with edge data centers (like Microsoft Azure or Amazon Web Services). This will allow them to store some of their more sensitive data closer to where it needs to be accessed–on premises rather than in a remote location. This will also help reduce latency since there’s less distance between those who need access and those who have authority over it.* Use managed cloud providers like IBM Cloud, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI). These companies offer managed services that include security features such as encryption at rest plus secure boot when restarting after a power failure.* Use managed service providers like Digital Realty Trust Inc., Equinix International Ltd., Interxion Holding NV/SA – A EURONEXT Company; Netrality Properties LLC – NYSE American Stock Exchange Tier 1 Issuer listing under NYSE symbol NRTY) which provide colocation space for equipment used by companies like yours; these facilities often include secure environments where sensitive information such as personal details about customers cannot be accessed without permission from IT personnel.* Finally there are providers offering both colocation space plus secure environments for storing customer profiles such as Equinix International Ltd., Interxion Holding NV/SA – A EURONEXT Company; Netrality Properties LLC – NYSE American Stock Exchange Tier 1 Issuer listing under NYSE symbol NRTY

Edge computing can improve the performance of your business by reducing latency.

Edge computing can improve the performance of your business by reducing latency.

We’ve all experienced it: waiting for a website to load or a video to buffer. This is an example of latency, and it happens when you’re accessing data from a server that’s far away from where you are located. The longer the distance between where your device is and where the server is located, the higher chance there is for latency issues like these.

Edge computing reduces latency by moving processing closer to end users than traditional cloud solutions do–in other words, edge computing puts servers right next door instead of across town or even across continents! This allows companies who use edge computing solutions like Amazon Web Services (AWS) Lambda or Microsoft Azure Functions as part of their DevOps strategy to deliver faster results with less hassle than before…

Conclusion

Edge computing is an important technology that can improve the performance of your business. By reducing latency and improving responsiveness, edge computing can help you stay competitive in an increasingly digital world. The best way to start using edge computing is by learning more about it and seeing if it’s right for your business or organization!