IoT Playbook, September 20th, 2018
IoT edge devices now do more than forward traffic from smaller devices. Often, they store information before forwarding it or actively process information on the edge device itself.
Every IoT installation is different, but IoT devices can spawn large amounts of data. Although that data may be useful, local storage and bandwidth for uploading it to remote storage are often limited. Edge storage systems enable integrators to perform tasks like combining data from multiple devices and performing some analytics locally. Here are some of the features integrators should look for when local storage and processing are needed.
1. Local data parsing and processing to speed IoT feedback
“The whole notion of the edge is that it provides a location near where the data is generated, which can be used to process data and compute some sort of response without latency challenges,” says Lazarus Vekiarides, CTO and co-founder of Boston-based storage vendor ClearSky Data. “Any time you send data to the cloud for analysis and then bring it back to act on locally, you’re going to experience high latency.”