As almost every object in your home and office become potentially internet-enabled, the IoT is poised to apply a major stress to the current internet and datacenter infrastructure. The popular approach is to centralize cloud data processing in a single site, resulting in lower costs and strong application security. However, with the sheer amount of input data that will be received from globally distributed sources, this structure will require some backup. Also, in most cases, enterprise data is pushed up to the cloud, stored and analyzed, after which a decision is made and action taken. This system is not efficient, and to make it so, there is a need to process some data in IoT case in a smart way, especially if it’s sensitive data that needs quick action.

IDC estimates the amount of data analysed on devices that are physically close to the IoT is approaching 40 percent, which supports the argument for a different approach to smart data processing. Edge/fog computing is the ideal solution to this challenge as it allows computing, decision-making and required action to happen via the IoT device itself, and pushes only relevant data to the cloud.

Why IoT Needs Edge/Fog Computing?

Prof. Ahmed Banafa