
At Hannover Messe, one of the largest
industrial automation trade shows, Linux Foundation announced a new open source
project, EdgeX
Foundry, which aims to unify various standards related to IoT and Edge
Computing.
Edge Computing bridges IoT devices and the Public Cloud
platforms through local processing power and intelligence. The massive amount
of data generated by the sensors and devices will be aggregated by the edge
before sending it to the cloud for further processing. In some scenarios, the
edge layer will apply intelligence by analyzing and finding anomalies in the
incoming data stream. Edge Computing dramatically reduces the latency by
bringing compute closer to the origin of data sources. This architecture will
play a crucial role in driving the
adoption of Industrial IoT.
The
Industrial IoT and Edge Computing markets are suffering from lack of standards
and fragmentation. Both vendors and customers find it challenging to implement
an IIoT solution due to the lack interoperability. With over a dozen communication
protocols, multiple operating systems, and a variety of application frameworks,
it is overwhelming to design and deploy the right IIoT solution.

EdgeX Foundry attempts to build a common
framework for Edge Computing. It is an open source interoperability framework
which is agnostic to hardware, operating systems and application frameworks.
The project wants to enable and encourage the community of IoT solutions
providers to create an interoperable ecosystem. The components will be
certified by EdgeX Foundry to ensure the highest level of compatibility.
The project claims to support both x86 and
ARM processors running any operating system including Linux, Windows and macOS.
Applications can be written for any application environment such as Java, Javascript,
Python, Go and C/C++. It proposes a loosely-coupled tiered IoT architecture
that allows developers to use a variety of plug–and–play microservices on the
compute nodes.
It is interesting that Dell has seeded this
project with FUSE source code base under Apache 2.0. This contribution includes
more than a dozen microservices and over 125,000 lines of code. Dell claims
that it architected Fuse based on the feedback from hundreds of technology
providers and end users to enable interoperability between existing
connectivity standards and commercial value-adds such as edge analytics,
security, system management and services.
The project is backed by over 50 companies
from the IoT ecosystem. Apart from Dell, who is the key contributor, we can
find the logos of AMD, Analog Devices, Canonical, Cloud Foundry, FogHorn,
Relayr and VMware in the member list.

At the time
of the announcement, the project doesn't have the source code, documentation
and reference architecture for developers. Like other projects maintained by
Linux Foundation, there will be a governance and membership model for EdgeX
Foundry to nurture a vibrant technical community. There will also be a
Governing Board for guiding business decisions, marketing and ensure alignment
between the technical communities and members. The technical steering committee
will provide leadership on the code and guide the technical direction of the
project.
The goal of
EdgeX Foundry seems to be similar to the OpenFog Consortium. Both are designed to encourage
standardization of Edge Computing. Dell is the only company that participating
in both the efforts. Cisco, the company that coined the term Fog Computing is
the primary driving force for OpenFog Consortium. ARM, Intel, Microsoft, and
Princeton University are the founding members of the consortium while AT&T,
Foxconn, GE, Hitachi, Sakura Internet, Shangai Tech University, and ZTE are the
contributing members.
Edge
Computing is an essential building block of IIoT. With Amazon and Microsoft
stepping up their efforts through Greengrass and Azure IoT Gateway project, it is clear that the cloud
players are getting serious about it. The initiatives from EdgeX Foundry and
OpenFog Consortium are a step the in right direction to accelerate the
adoption of Industrial IoT.
Credit: Janakiram MSV (Contributor Forbes)
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