How edge networking and IoT will reshape data centers

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Curated from networkworld.com →

The Internet as we have all known it mirrors the design of old mainframes with dumb terminals: The data path is almost entirely geared toward data coming down the network from a central location. It doesn’t matter if it’s your iPhone or a green text terminal, the fast pipe has always been down, with relatively little data sent up.

The arrival of IoT threatens to turn that on its head. IoT will mean a massive flood of endpoint devices that are not consumers of data, but producers of it, data that must be processed and acted upon. That means sending lots of data back up a narrow pipe to data centers.

For example, an autonomous car may generate 4TB of data per day, mostly from its sensors, but 96% of that data is what is called true but irrelevant, according to Martin Olsen vice president, global edge and integrated solutions at Vertiv, a data center and cloud computing solutions provider. “It’s that last 4% of what’s not true that is the relevant piece. That’s the data we want to take somewhere else,” he said.

So does this mean a massive investment in rearchitecting your network for fatter pipes into the data center? Or can the advent of edge computing take the load off central data centers by doing much of the processing work at the edge of the network?

Edge computing is decentralized data processing specifically designed to handle data generated by the Internet of Things. In many cases, the compute equipment is stored in a physical container or module  about the size of a cargo shipping container, and it sits at the base of a cell tower, because that’s where the data is coming from.

Edge computing has mostly been to ingest, process, store and send data to cloud systems. It is the edge where the wheat is separated from the chaff and only relevant data is sent up the network.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.