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An increasing number of companies are focusing more on edge computing. According to a report from AT&T Cyber Security, 75% of security leaders are either planning, in the process of being deployed, or fully deployed an evolving use case. This is largely due to the technology’s ability to conserve bandwidth, speed up response times and enable data processing with fewer restrictions. In fact, the Edge Case Study The Linux Foundation predicts that by 2028, companies will use edge computing more widely.
during VentureBeat Transform 2022 . Virtual ConferenceDavid Shakuchis, Vice President of Enterprise Product Strategy at lumensupervised a Discussion To talk about how edge computing is transforming use cases and strategies for some of the true giants of the industry, across the realms of hardware, software, and service providers.
Also included in the discussion was Shakuchis colleague Chip Swisher, who runs the Internet of Things (IoT) training for Lumen; Rick Livano, Chief Technology Officer, Global Communications Industry, Microsoft; and Dan O’Brien, general manager of HTC Vive.
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Shacochis said computing power went through evolutionary cycles that oscillated back and forth between centralized and distributed models. Looking at periods of technological breakthrough, Shakuchis argued, steam power enabled mass production industries, while electrical distribution fueled the modern industrial economy that ushered in the dawn of computing power in microprocessing. This, he said, has now led to the present day and the so-called Fourth Industrial Revolution.
He further noted that the dawn of the mainframe is the original dawn of computing power, distributing it to client-server models, then merging back towards the cloud and bringing all business logic to more centralized situations.
“We are now seeing this explosion of all the different data sources, the different ways of processing that data, and the different types of sensor operator cycles that can really add a lot of value to customer experiences and industry efficiencies,” Shakochis said. “All these different types of business result from many different ways of taking advantage of the edge. So those industry cycles that happen across decades, and computing cycles that happen over smaller periods of years, really led us to this exciting time in the industry.”
Fourth Industrial Revolution
When examining the era of the Fourth Industrial Revolution from a hardware perspective, O’Brien said HTC started out as an original design manufacturer (ODM). He said HTC makes motherboards and chips for other companies, and other computer products and devices, using immersive silicon. He added that the company moved very quickly to application-specific integrated circuit (ASIC) chips and graphics processing units (GPUs) which evolved into smartphone technology.
“A lot of people don’t realize that was the dawn of what we see today in extended reality,” O’Brien noted [XR] world, building these new types of immersive products. It has already evolved from a lot of chipsets and evolved from a lot of smartphones. What is in modern virtual reality [VR] Headphones and Screens is a smartphone board that has been fueled by the need for higher visual quality and resolution inside a smartphone.”
“Now we see where we need more processing power,” he continued, “We need more visual quality and performance inside the XR and AR headsets VR headsets.” [AR] type of solution. We are seeing this increase in terms of demand and overall performance needs. Additional products require large computers and GPUs to make all of these things work. Now, we’re actually porting all of this to a cloud environment.”
He added that there is now also artificial intelligence (AI) and machine learning (ML) that will improve operations for all virtual content and interactions.
Plus, Livano said, the cloud really changed everything, and the edge is an extension of the cloud. He noted that at Microsoft they’re talking a little bit about the idea of the smart cloud and the smart edge, which he believes is a way to bring applications across the entire computing board to where they’re needed.
“As a developer, you like to think that you can build an app once,” Livano said. “You want to use the latest technology, which is currently cloud-native principles, and you want to be able to deploy it anywhere, whether it’s a public cloud in the sky, or an edge location. So this vision that we have of smart cloud and smart edge is very much dependent on on our carrier partners because at the end of the day they provide that connectivity – the connective tissue required for this vision to become a reality. But the cloud needs to connect to the edge. And without carriers like Lumen, there’s no smart feature.”
According to Lievano, this is in contrast to the transition from the main computer to the client server, where each central machine and cloud server had their own unique developer models. He said that the capabilities of cloud-native are the same, whether they are available in Azure or in the cloud.
He also pointed out that on the edge, you might have a subset of these cloud capabilities because of the size, but the programming model, devops model, management portals, management interfaces, and APIs are all the same. He also said that advertising becomes another cloud area for developers to publish their applications on, and this is a big difference between the main computer and the client server.
“Once again, as a developer, I am amazed by the advances and tools, especially in the past few years,” Livano said. “Artificial intelligence, for example, has had an amazing impact not only in the apps we create as developers, but also in the apps we write and how we develop those apps. So, the cloud gives you limitless computing potential. [that are] Right at your fingertips. Again, scale is not an issue, but features like serverless computing, for example, enable you to take your apps to the next level. In science, you will be able to create and publish complex applications using microservices.”
Evolution of the Internet of Things
From a solution and service provider perspective, Shacochis said that the cloud and some of its tools make some things easier, but opportunities and customer expectations make things more complicated. However, Swisher said, speaking from his specialty about IoT, while some say IoT is a new concept, in fact, it’s been around for more than 20 years. Swisher said it’s a concept that explains the ability to pull data from machines and devices and perform certain operations with them.
“I experienced a wave of what I call IoT 2.0, where you might be trapped on the factory floor, a control machine on the local production line that was processing there locally,” Swisher noted. “Then we saw the advent of moving that to the cloud, and different cloud service providers providing end-to-end central solutions in that space. Now we really see the need for integration in IoT 2.0, where we’re starting to see use cases through pipes, getting data coming from several different infrastructures. of the Internet of Things and IoT models and the ability to bring all of this data together in one view.”
Swisher added that machine learning is the next evolution to get a complete view across everything that’s happening around town, factory, warehouse and distribution to bring data together.
He noted that IoT 2.0 “creates new challenges from the point of view of computing, network integration and services, where there is a need to do a computation closer to those aspects because building all of these things together, we really need to be able to make it more real-time to be able to Adapt as we need it.The concept of using computing on the premise of, you know, computation at the edge of a metro or a nearby capacity, plus the cloud, and being able to have all of those there to put all of those parts together and be able to move around, and compute around those different locations really became a thing. very important “.
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