Suitable tasks for edge computing

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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.”

typically fall into several 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 ghana mobile database 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.

2. Automation and centralized management will be key
By definition, edge computing is taking a centralized networked IT environment and breaking it down into hundreds or even thousands (or more) of smaller environments. Think of the classic image of a room full of servers, but now each server in each rack is in its own room — or, in many cases, no room at all, but on an oil rig or cell tower or manufacturing floor.

Almost no matter what scenarios you use, this will involve moving a lot of things that have long been the domain of IT—infrastructure/compute, devices, applications, data—outside your IT environment, however that is currently defined. Managing all of this properly requires thought.

“You’re probably going to have a lot of devices at the edge, and there’s probably not a lot of local IT staff there,” says Gordon Huff, a technology evangelist at Red Hat. “So automation and management are needed for tasks like mass provisioning, taking action in response to events, and centrally updating applications.”