  Industrial organisations, particularly Small and Medium-sized Enterprises
(SME), face a number of challenges with regard to the adoption of Industrial
Internet of Things (IIoT) technologies and methods. The scope of analytics
processing that can be performed on data from IIoT-enabled industrial processes
is typically limited by the compute and storage resources that are available,
and any investment in additional hardware that is sufficiently flexible and
scalable is difficult to justify in terms of Return On Investment (ROI). We
describe a distributed model of data transport and processing that eases the
take-up of IIoT, whilst also enabling a capability to securely deliver more
complex analysis and future insight discovery, than would be possible with
traditional network architectures.
