For many companies it still feels safer to store most of their data in-house, so instead of “Everything in the Cloud”, the motto “Only what is necessary in the Cloud” applies much more.

Edge computing means providing computing- and storage capacity by intelligent IoT devices prior to the entry into the network, close to the data’s point origin, and enables the rapid collection, storage, processing, and analysis on-premise.

If necessary and as required, filtered and less time-critical data can be moved to a public cloud.

edge computing

On the clouds’ physical border

Physical limitations that even modern IT and the cloud cannot ignore. 

Latency times foremost among them, which preclude machine control in real time, as well as data volumes: their cloud-based transmission, evaluation, analysis, and retransfer to their point of origin just takes too long.

In addition, this raises the question of securely available bandwidth for transmitting data into the public cloud as well as the general availability not only of cloud infrastructure but of transmission channels as well. 

Finally, the security aspect is another one to take into consideration when deciding for or against public cloud solutions.

The birth of Edge computing 

In Industry 4.0 settings, the protection of personal data is less of a concern, but still many companies deem it critically important that their data doesn’t leave the premises to be transferred into a cloud subject to foreign legislation.

Despite all of this, the advantages of moving IT including cloud concepts closer to the machines outweigh the problems. To this end, new architectures have been developed, which offer the advantages of the cloud on one hand, while on the other meeting “edge of the net” industrial requirements. This is the birth of Edge computing.