5G, Edge, and Industry 4.0 Q&A

The confluence of 5G networks, AI and machine learning, industrial IoT, and edge computing are driving the fourth industrial revolution – Industry 4.0. The impact of the industrial edge and how it is being transformed were among the topics at our SNIA Cloud Storage Technologies Initiative (CSTI) webcast “5G Industrial Private Network and Edge Data Pipelines.” If you missed it, you can view it on-demand along with the presentation slides in the SNIA Educational Library. In this blog, we are sharing and clarifying answers to some of the intriguing questions from the live event.

Q. What are some of the key challenges to support the agility and flexibility requirements of Industry 4.0?

A. The fourth industrial revolution aka Industry 4.0 aspires to fundamentally transform the flexibility, versatility and productivity of future smart factories. Key attributes of this vision include complex workloads to enable remote autonomous operation, which involves autonomous mobile robots and machines, augmented reality aided connected workers, wireless sensors, actuators and remote supervisory control systems, as shown in the diagram below. Machines in smart factories will no longer be stationary. To enable quick response to supply demand changes and enable mass customization (“batch size of one”), factory lines need to be quickly reconfigurable and need machines to move within a certain range. These AI-based, mobile autonomous robots and machines require high data through-put wireless networks and highly reliable sub-second latency for machine-to-machine control communications.

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5G Industrial Private Networks and Edge Data Pipelines

The convergence of 5G, Edge Compute and Artificial Intelligence (AI) promise to be catalyst for continued digital transformation. For many industries, it will be a game-changer in term of how business in conducted. On January 27, 202, the SNIA Cloud Storage Technologies Initiative (CSTI) will take on this topic at our live webcast “5G Industrial Private Networks and Edge Data Pipelines.”

Advanced 5G is specifically designed to address the needs of verticals with capabilities like enhanced mobile broadband (emBB), ultra-reliable low latency communications (urLLC), and massive machine type communications (mMTC), to enable near real-time distributed intelligence applications. For example, automated guided vehicle and autonomous mobile robots (AGV/AMRs), wireless cameras, augmented reality for connected workers, and smart sensors across many verticals ranging from healthcare and immersive media, to factory automation.

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Storage at the Edge Q&A

The ability to run analytics from the data center to the Edge, where the data is generated and lives creates new use cases for nearly every business. The impact of Edge computing on storage strategy was the topic at our recent SNIA Cloud Storage Technologies Initiative (CSTI) webcast, “Extending Storage to the Edge – How It Should Affect Your Storage Strategy.” If you missed the live event, it’s available on-demand. Our experts, Erin Farr, Senior Technical Staff Member, IBM Storage CTO Innovation Team and Vincent Hsu, IBM Fellow, VP & CTO for Storage received several interesting questions during the live event. As promised, here are answers to them all.

Q. What is the core principle of Edge computing technology?

A. Edge computing is an industry trend rather than a standardized architecture, though there are organizations like LF EDGE with the objective of establishing an open, interoperable framework. Edge computing is generally about moving the workloads closer to where the data is generated and creating new innovative workloads due to that proximity. Common principles often include the ability to manage Edge devices at scale, using open technologies to create portable solutions, and of ultimately doing all of this with enterprise levels of security. Reference architectures exist for guidance, though implementations can vary greatly by industry vertical.

Q. We all know connectivity is not guaranteed – how does that affect these different use cases? What are the HA implications?

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5G Streaming Questions Answered

The broad adoption of 5G, internet of things (IOT) and edge computing are reshaping the nature and role of enterprise and cloud storage. Preparing for this significant disruption is important. It’s a topic the SNIA Cloud Storage Technologies Initiative covered in our recent webcast “Storage Implications at the Velocity of 5G Streaming,” where my colleagues, Steve Adams and Chip Maurer, took a deep dive into the 5G journey, streaming data and real-time edge AI, 5G use cases and much more. If you missed the webcast, it’s available on-demand along with a copy of the webcast slides.

As you might expect, this discussion generated some intriguing questions. As promised during the live presentation, our experts have answered them all here.

Q. What kind of transport do you see that is going to be used for those (5G) use-cases?

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