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Connect-World Europe 2 2022

by Stefan

Though many companies are adopting Edge computing and are predicting the end of Cloud computing, this is not substantiated because there is currently no analytical framework to prove it. Edge computing is not the only solution for the challenges faced by IT vendors and organizations and does not handle all applications across every environment, thus, Cloud computing will still remain a crucial part of an organization’s IT infrastructure. For example an IoT device with computing power attached to it, along with Azure functionality. The device-deployed code responds in real-time by shutting down the IoT machine in case of a damaging failure condition, while the rest of the application runs in Azure. The million-dollar machine is no longer dependent on cloud loop for emergency response due to its utilization of edge computing and still works in harmony with cloud computing to run, deploy, and manage the IoT devices remotely. This sustains that cloud computing will remain relevant and work alongside edge computing to provide data analytics and real-time solutions for organizations.

Edge computing Vs. Cloud computing – Which One’s Better?

First, it’s important to understand that cloud and edge computing are different, non-interchangeable technologies that cannot replace one another. Edge computing is used to process time-sensitive data, while cloud computing is used to process data that is not time-driven.

Besides latency, edge computing is preferred over cloud computing in remote locations, where there is limited or no connectivity to a centralized location. These locations require local storage, similar to a mini data center, with edge computing providing the perfect solution for it.

Edge computing is also beneficial to specialize and intelligent devices. While these devices are akin to PCs, they are not regular computing devices designed to perform multiple functions. These specialized computing devices are intelligent and respond to particular machines in a specific way. However, this specialization becomes a drawback for edge computing in certain industries that require immediate responses.

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