1. Edge computing must solve suitable problems

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The experts we interviewed shared some important aspects of an edge computing strategy. Here are four key principles to keep in mind as you plan.

As with any major technology adoption, an edge computing strategy must have a solid business case - what problems will an edge deployment solve that you can't solve (at least not as well) in the cloud or with a data center?

“One of the most important things to get started with is to fully understand the characteristics that make a problem a good fit for edge computing,” says Jeremy Linden, senior director of product management at Asimily. “It’s like choosing the right tool for the job — I could use a blowtorch to light a barbecue grill, but a match would work just fine.”

Suitable tasks for edge computing typically fall into cambodia mobile database categories, with latency being one of the main factors.

“These tasks typically either require lower latency than is possible with a more centralized architecture, are performed in an environment where the network connection is unreliable or slow, or are very intensive, requiring a lot of data to be transferred back and forth,” Linden says. “In these situations, processing data closer to the source can provide significant benefits.”

The key question to answer is: How does your organization benefit from moving computing/processing power closer to where data is created and/or used? When you frame the question this way, the list of potential answers is quite long—and it’s a good starting point for formulating an edge strategy before you get into the practicalities of implementation.