Huawei, Intel, Bosch et al take on open source edge computing
The launch of the Edge Native Working Group sees the likes of ADLINK, Bosch, Edgeworx, Eurotech, Huawei, Intel, Kynetics, and Siemens collaborating as founding members.
The Edge Native Working Group is a vendor-neutral and code-first industry collaboration that is set to drive the evolution and broad adoption of open source software for edge computing.
With open source still yet to unleash its full potential, the Edge Native Working Group is focused on the near-term creation of an end-to-end software stack that will support deployments of today’s most transformative technologies, including the Internet of Things (IoT), Artificial Intelligence (AI), autonomous vehicles, and more.
“Edge computing has emerged over the past few years as the way to process data and deliver services for AI, autonomous vehicles, 5G, IoT, and important industrial use cases by leveraging distributed, localized compute,” said Mike Milinkovich, executive director of the Eclipse Foundation.
“Within the Eclipse community, we already have a mature code base of open source edge computing platforms with production deployments in the field.
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“The Eclipse Foundation is happy to host this vendor-neutral industry collaboration to accelerate the adoption of distributed applications at the edge.”
The Eclipse Foundation hosts production-ready code that enables developers to build, deploy, and manage applications at the edge at enterprise scale, to get ahead of the edge computing forecasts which predict that the market is set to generate around $16.5bn within the next five years.
“The Eclipse Foundation is doing the same thing for edge computing that it did for IoT,” said Kilton Hopkins, co-founder and CEO for Edgeworx, Inc. and Eclipse ioFog project lead.
“We’re acknowledging that edge computing has its own requirements, challenges, and industry-wide concerns that are different from those found in all other sectors.
“There’s enough going on in the industry that it’s time to address the particular challenges associated with edge computing in a very focused way.”
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