Whenever any technological term becomes popular, it creates a buzz in the tech world. Even though many people are unaware of it. Such a thing happened a few years ago, cloud computing became the buzzword on everyone’s lips. As soon as the people started to know about that, in came Edge Computing! Now, the question was:
What is Edge Computing?
Operations that happen at the closest logical location is known as Edge Computing (as opposed to cloud computing). Frequently, the most logical and efficient place for processing information is done locally on a device. Sometimes, it is done at the closest data center as well. Originally, Edge computing is processing data that happens off the network, on the ‘edge’ of the network (closer to the source of information). When the information has been processed and refined, it is then sent to the cloud.
Nowadays, Edge computing is becoming more and more relevant with the growing popularity of the Internet of Things (IoT).
How does the Internet of Things get help from Edge of computing?
You might have heard recently that the most secure databases are not fully safe. Information that is stored on the cloud can be hacked, compromising your user’s details. However, with the help of Edge computing, the device collects all the information and sends the relevant data to the cloud. In some cases, it will also collect information even while the device isn’t connected to a network. This means if the cloud is compromised, not all the user’s data would be at risk. As there is less information being sent to the cloud, it also means that the data cannot be intercepted while being transmitted.
Latency is the time taken for you to send a query through your device to the network and for a reply to come back. You might have seen that smart devices that are connected to the internet don’t work at the speed of human thoughts because they are limited by certain factors such as bandwidth, network speed, and the distance from the server or the database. Although there is a small amount of lag or latency available which is unnoticeable most of the time.
This may not affect the performance of the device most of the time, but that latency could potentially be damaging. For instance, a self-driving car cannot afford to lose the ability to make split-second decisions because the network is clogged while it’s on the road. In such cases, Edge computing allows such devices to compute and make decisions locally, at high speed, without affecting their efficiency.
Cloud-based services can be subject to Distributed Denial of Service (DDoS) which is basically an attack when the server is flooded with artificial queries jamming up the network so actual users can’t access. However, it can be prevented with the help of Edge computing, giving your users uninterrupted service.
Furthermore, Edge computing doesn’t need to rely on a steady connection to the internet or servers. This means the service provided is not at risk of network failures or a slow connection making it one of the biggest advantages of Edge computing. It can be also used for operations in remote locations or regions where it is not possible to get a reliable network connection.
Uses of Edge computing in real-life
Edge computing is used in many industries nowadays because of their speed and dependability which includes:
- Fleet management
- Self-driven vehicles
- Safety monitoring in remote oil and gas rigs
- Power management with smart grids and smart meters
- Stock market trading
- Smart video orchestration
- Mobile app data management
- Gaming and many more
So, these are some of the things that you need to know about the edge of computing if you don’t know about. Apart from that, if you are looking forward to configuring your apps with the edge of computing then contact Latitude Technolabs right away as we are the most reliable web and mobile app development company.