IoT edge computing presents next big challenge for cloud

IoT edge computing presents next big challenge for cloud

By | March 18th, 2017
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IoT adoption continues to grow, but can public cloud keep up? Data gravity

will affect how enterprises process data, prompting some cloud providers to

rethink their strategy.


														
							

As much as we try, it’s impossible to defeat physics. I’m speaking specifically of data gravity and compute. The internet of things on the edge of the network has a dramatic impact on IT operations and vendor services.For example, internet of things (IoT) forced a change in data patterns, prompting Amazon to release Snowball Edge — a data transfer device with integrated storage and compute resources.

1]Data gravity

Growth in the number of sensors and the need to process that data will choke rather than accelerate the adoption of public cloud. The public cloud model assumes data resides within the cloud provider’s data center.

2]Many mini data centers

IoT-enabled devices continue to generate a massive amount of data, and data gravity plays a critical role in the ability to use data generated by sensors. From a pure latency and bandwidth perspective, it’s impossible to transmit data from millions of cars back to a data center for decision processing.

3]IoT edge computing infrastructure

AWS Snowball Edge is an admission that some level of computing occurs at remote sites. The example given at AWS re:Invent 2016 was wind farm sensor data. Turbines generate a tremendous amount of data, some of which requires analysis close to the source of generation.

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Nisheeth Bhakuni