As reliance on the cloud grows daily, more of a burden is put on cloud technologies that are expected to be fast and seamless, especially in relation to IoT devices. To meet the need of IoT, edge computing allows some of the real time computing tasks to a local gateway device where it can be processed more quickly. It’s a necessary solution to the eventual bloat that could come from increased reliance on cloud technology.

As mentioned, edge computing does not replace cloud computing. Effectively, the analytic algorithm may be fashioned in the cloud, and then pushed to the edge device. This is often occurs where the device is primarily a sensor gathering data and incapable of analysis.

The trick is to incorporate both models to their best effectiveness: edge computing where time is of the essence, and cloud computing where security and volumes abide. It is imperative that IoT strategies integrate stacks and layering of the computing exemplars to get the best of both worlds and optimize the processing power of IoT.

As edge computing becomes more necessary, it will be interesting to see which players emerge to capitalize on this need and optimize edge computing as a service to IoT companies to make their systems more efficient and cost-effective.

Interested in developing your own edge computing solution? Sign up HERE for updates on our VLab hackathons for a chance to work on projects aimed at creating solutions for various enterprise companies.

Source: CIO Magazine

Sebastien Gabriel

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