The Rise of Edge Computing
This is a new way, which has emerged through industrial development in the last few years in computer science of doing procession and storage of data. It should be noted that edge computing is different from cloud computing since it does not use central data centers but processes information nearby the devices or servers. This lessens latency, increases throughput, and makes it more dependable, which helps applications of predictive analytics that need quick response times as seen in self-driving cars, IoT gadgets, and AR.
Serious acclamations can be seen when addressing the assignment of the hinge of enormous data produced using IoT devices where edge computing shines. Since data does not frequently transfer to a centralized hub, it can save substantial workloads on data center and lesser bandwidth required. This results in the faster decision making process in nuclear powerplants and improves their efficiency of operation.
Furthermore, edge computing helps in addressing concerns of data privacy and security as it brings data close to the source and thereby minimizing the vulnerability of data theft as information is in transit.
With the rapid popularity and advancement of applications requiring real-time data processing, edge computing is set to become an essential element of the digital ecosystem required to deliver smart city applications, improved industrial productivity, and future enhancements in technology.
