Center for Edge Computing and 5G

The edge exists wherever data is acted on to create immediate, essential value. It’s where trailblazers in every industry are leveraging edge computing and 5G to transform business models, operations, and user experiences.

Why Aren’t Factories as Smart as They Could Be?

The benefits of smart manufacturing come not from making individual machines smarter, but from gaining continuous insights into, and control over every process, from the start of the supply chain to the end customer.

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Inside a Remarkable Factory

Telecommunications is evolving with the introduction of new technologies, such as 5G. And with it, the intelligent factory and the possibilities for tomorrow. Watch now.

Dell Technologies at the Edge

The opportunity at the edge is clear. Learn how Dell Technologies is helping organizations seize it.

Infographic: Artificial Intelligence in Five Steps

Dell’s five step plan and recommendations for undertaking successful artificial intelligence implementations.

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IDC InfoBrief: The Edge Cloud: Enabling an Intelligent Digital World

Learn how the edge cloud enables the use of infrastructure in edge locations via an “as-a-service model.”

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IDC InfoBrief: Embedded Intelligence: Innovative Outcomes with Edge Cloud

Learn how intelligent edge systems make instantaneous and autonomous decisions independent of the datacenter and private or public clouds.

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Dell Technologies Digital Twin Solution Brief

Learn about the role of Dell Technologies’ solutions for designing and deploying digital twins for manufacturing and industry.

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Edge Computing vs. Cloud Computing: A Primer

Edge infrastructure can integrate with central cloud data centers to deliver performance levels that wouldn’t be possible using the cloud alone.

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Edge Computing

5G and the Manufacturing Edge: Optimism Tempered

The 5G-enabled factory will have the capacity to maintain connections for far more sensors than either wired or previous wireless facilities.

Best Practices

Edge Computing Requires Updated Disaster Recovery

Now that companies have embraced edge, updated disaster recovery plans are needed to offer assurance that a company can survive a disruption.

Edge Computing

The Path to Intelligent Insights at the Industrial Edge

For manufacturers, an advanced factory platform can unify information technology (IT) and operational technology (OT) to minimize costly disruptions.

Edge Computing

What is the Edge and Why Do We Care About it So Much?

Bill Pfeifer, Edge Message Director at Dell Technologies, provides an overview of edge technology, its use cases, and its benefits.

Edge Computing

Blurry Line Between Edge and Center Has Disappeared

Computing architectures need to mix and match data, workloads, and their environments along the center-to-edge spectrum.

Edge Fundamentals

How Cloud Computing and Edge Computing Fit Together

In many situations, using cloud computing and edge computing at the same time can lead to the best overall outcome from a performance perspective.

Real-Time Analytics

What is Intelligent Edge Computing?

Intelligent edge computing is the application of edge computing architectures to workloads involving data analysis, machine learning, or AI.

5G

5G Networks are Ready to Open the Floodgates of Innovation

5G networks deliver the versatility and flexibility to support millions of IoT devices and sensors in a way that 4G or LTE couldn’t.

Edge Computing

Edge Computing: What Needs to Change to Increase Its Use

Moving to an edge architecture requires managing costs, orchestration, and security challenges.

Edge Computing

6 Organization Types to Lead the Edge Computing Revolution

Earlier entrants are getting a head start on reaping the benefits of edge computing and they are providing roadmaps and lessons that will benefit everyone across the board.

Edge Computing

Explosive Growth Expected from Mobile Edge Computing

The most significant implication of using mobile edge computing seems to be a continued focus on efficient data processing and gaining timely insights.

IoT

The Relationship Between IoT and Edge Computing

IoT infrastructure is one possible way to build an edge computing environment.

IoT

IoT Continues to Transform the Retail Experience in 2021

As things return to normal, IoT strategies could give physical stores a boost, allowing retailers to enhance the experience for their customers.

Edge Computing

Edge Computing Urgency Explored in New Report

CIOs are realizing that the edge is the key to unleashing innovative opportunities.

AI/ML

Edge Computing Evolves: AI/ML Becomes More Common

Edge computing changes are enabling decision-making where data is generated, and are powering applications that are reliable, private, and faster than ever.

Edge Computing

The Edge-to-Cloud Continuum (Special Report)

Learn why the edge-to-cloud compute continuum is a foundational component of digital transformation into a data-driven enterprise.

Edge Computing

Edge Computing Gets an Open Source Boost

The rise of open source at the edge is happening by necessity, as no two edge networks and device clusters are alike, requiring high degrees of customization.

IoT

Post-Covid Industrial IoT Spending Set to Quadruple

Industrial IoT paves the way for industrial companies to shift from selling products to delivering services and solutions.

Edge Fundamentals

Thoughts on Emerging Technologies, Edge, and IoT

IoT, machine learning, artificial intelligence, 5G, augmented reality, and virtual reality all benefit from increased edge compute power.

Edge Fundamentals

Understanding Edge Computing and Why It’s So Important

The convergence of computing environments, from edge to the central server, is forming the foundation of the emerging real-time enterprise.

Use Cases

Edge Application Technology Benefits All Industries

The edge is ripe for cross-pollination where lessons learned and solutions developed in one industry may be used for another application in a different industry.

Digital Cities

Smart Cities Look to the Edge for Next Level Urban Planning

If edge computing capabilities can be woven into the very fabric of our cities, this might come to revolutionize the way we interact with them.

Edge Fundamentals

Moving Targets: Defining the Edge and Its Architecture

Organizations face significant challenges deploying IoT infrastructures and discovering insights from the vast amounts of device-generated data.

Digital Cities

Digital Twins in Manufacturing: Uses, Benefits, and Challenges

An enterprise-class infrastructure can enhance the effectiveness of digital twin initiatives and enable innovative applications.

5G

5G Will Dramatically Speed Up Industries’ Journeys to the Edge

Many industries are looking to 5G to help move data at lightning speeds from edge devices and networks to more centralized decision-making systems.

IoT

Designing for Edge and IoT Success

Welcome to the digital future, where every organization needs to be a digital organization powered by data, running in a multi-cloud world. The digital future demands a data-first perspective.

Digital Cities

The Need for a Smart City Nervous System

One of a smart city control center’s most useful features is its ability to serve as an Early Warning System (EWS) and quickly act on its own EWS recommendations.

5G

Next FCC Spectrum Auction to Bring 5G to the People

Providers realize the competitive advantage of offering 5G for edge applications and will be bidding on available spectrum to put a suitable infrastructure in place.

AI/ML

The Edge Gets Smarter: AI Now the Top Workload

Artificial intelligence and machine learning, once mainly seen on the supercomputers of the world, are now prime candidates for deployment at the edge.

5G

5G and Edge Raise New Cybersecurity Challenges for 2021

The most significant cybersecurity focus for 2021 for 5G and edge will be blending human expertise with newer solutions such as AI-driven security.

Industry Use Cases

Every industry is undergoing digital transformation. Edge plays a critical role in how organizations leverage new data sources to drive specific and differentiated business outcomes.

5G

5G: A Co-Innovation to Accelerate Your Progress (Infographic)

Learn about the three key steps for Telcos to realize the 5G opportunity.

Telecom

Dell Technologies Telecom Edge

Learn about the benefits of 5G for your business.

Telecom

5G to Help Telcos Establish an Edge Presence

5G and edge go hand-in-hand because of 5G’s lower latency and the higher bandwidth. Together they will enable a new class of applications across industries.

Embedded Systems

Connected Fleets Improve Your Bottom Line

A new Ford service will let businesses monitor their connected fleets while helping to manage driver behavior, performance, and compliance goals.

Manufacturing

Inside a Remarkable Factory (Video)

Learn how smart factories, powered by data-driven insights and automation at the edge, are revolutionizing manufacturing.

Manufacturing

Fast Track Smart Manufacturing (Infographic)

Simplify the manufacturing edge to generate insights where you need them.

Manufacturing

The Future of Manufacturing (Video)

Meeting the evolving needs of society demands continuous innovation. Learn how cutting edge solutions emerging from data analytics are advancing manufacturing and giving rise to Industry 4.0.

Additional Resources

Fundamentals

6 Good Reasons to Adopt Edge Computing

Every situation is unique. What is clear, however, is that a balance between cloud and edge computing will likely drive tomorrow’s IoT architecture.

Edge Computing

The Edge is Now the Center of the Action

As massive amounts of data are created, the cloud will extend to the edge. It won’t be cloud versus edge; it will be cloud with edge.

Best Practices

Industries Still Must Tighten Up Their Supply Chains

Disruptions of supply chains are hopefully temporary. Yet, they point to data and analytics gaps hindering the ability to connect products with consumers.

Edge Use Cases

Podcast: Edge & IoT PowerChat #023 – Federal Mission at the Edge: Part 1

Heath Muchmore and Manny Yusuf, Chief Architect and Cloud Architect, respectively, within the Federal Office of the CTO for Dell Technologies, continue their discussion addressing how to overcome the challenges of bringing Edge computing to Federal Mission environments.

Edge Use Cases

Podcast: Edge & IoT PowerChat #024 – Federal Mission at the Edge: Part 2

Heath Muchmore and Manny Yusuf, Chief Architect and Cloud Architect, respectively, within the Federal Office of the CTO for Dell Technologies, continue their discussion addressing how to overcome the challenges of bringing Edge computing to Federal Mission environments.

Edge computing

Data at the Edge (Video)

Your data is there, hiding at the edge.

What is Edge Computing?

Edge computing and 5G are two of the emerging technologies that will fuel the future by transforming the physical world into digital. Adoption is expanding, and organizations harnessing these technologies will pave the way for some of the most innovative industries. Digital transformation depends on a data-first approach, with rapid ingestion of data and raw compute power driving the analytics necessary to turn vast quantities of data into actionable insights.

IDC predicts that the collective sum of the world’s data is on track to grow from 33 zettabytes in 2018 to 175ZB by 2025, for a compounded annual growth of 61 percent. According to Gartner, while today only about 10 percent of enterprise-generated data is created and processed outside a traditional data center cloud, by 2022 that’s expected to increase to 75 percent; and the location of the data being generated is the edge.2

IDC defines the datasphere as having three main locations. First is the core, which includes traditional and cloud data centers, second is the edge, which includes things like cell towers and branch offices, and third is endpoints, which include PCs, smartphones, networked cars, wearables and edge and IoT devices. Determining how to aggregate, analyze and process the data these devices generate and collect is one of the key challenges for today’s organizations as they integrate edge solutions. For use cases that require immediate insights, the data is most valuable the instant it’s ingested, and the longer analysis takes, the less value a business can glean from it or rely on it.

Edge technology is undergoing rapid and expansive changes to accommodate these shifting needs, as more and more organizations are adopting what is now know as edge computing. For most organizations, it will be invaluable to their future growth.

At its core, edge computing is the practice of deploying distributed devices that are capable of performing data processing, computation, and decision making across a network. Businesses place these computational devices as close to the “edge” – the location within the network where data is generated by IoT devices – as possible, to minimize the space and time between ingestion and the analysis of data.

These edge and IoT devices come in a variety of forms, depending on the application and the computational power necessary. They can be offshore wind turbines, industrial controllers, a smart light bulb, security cameras, gas turbines, autonomous vehicles, cameras phones, point-of-sale systems, and much more. Sometimes, they’re as inconspicuous as a single industrial sensor on an oil rig or in a factory. They can also be small “data centers” of servers located in strategic areas around a business’ network or embedded within distributed facilities (such as warehouses or distribution centers) rather than centralized either on-premises at company headquarters or in a cloud computing data center.

Regardless of the size, edge devices often take on the responsibility of processing real-time streaming data themselves, rather than relying on a centralized cloud computing service. They perform analytics, make decisions, and even run artificial intelligence or machine learning models on the data, without additional support. An autonomous car is an excellent example of the types of considerations required for a good edge architecture – many focus on video-based object detection and recognition, but consider the simple use case of smart air bag, and the requirements this may impose for analysis and response. The many variables of passenger height/weight/position in car (especially proximity to the dash), and the sensors which need to work in concert to ensure accuracy and determine whether or not to deploy on impact (and based on severity of impact, location of impact, etc.). There is no time to take the data from an impact to a car to a data center or a cloud, and back again, in time to instruct the air bag to deploy – this analysis and response must happen at the edge – in milliseconds.

An autonomous vehicle relies heavily on sensors that monitor the vehicle’s current state and observe its surroundings. These sensors are connected, through the vehicle’s operating system, to essential mechanical functions like steering and braking. In order to respond rapidly to hazards, shifting lanes, other vehicles, pedestrians, cyclists, and stop signs, the vehicle needs to ingest data from sensors, analyze that against the current speed and other state data, make a decision of its next move, and apply that decision in a fraction of a second.

The increasing power of edge devices and infrastructure is one of the primary reasons autonomous vehicles exist today. If the vehicle needed to send sensor data back to a cloud computing data center for analysis, it may have crashed by the time a decision was transferred back. By placing computational power in the vehicle itself, and thus the fleet’s physical edge, an entirely new industry is born.

This is where the value of 5G networks becomes apparent. The telecom edge, also known as Multi-access Edge Computing (MEC), allows for distributed computing that enables low-latency and high-bandwidth uses cases that otherwise wouldn’t be feasible on centralized cloud architecture3. Autonomous vehicles are one of the ideal use cases for MEC. Beyond transportation use cases, industries in every sector are adopting edge computing and 5G.

Consumers see edge computing in action in so many ways today. A few of the most recognizable are in voice-recognition hardware, smart thermostats, internet-connected TVs, and even the smartphone in their pockets. At the same time, industrial organizations are pushing edge infrastructure and edge analytics to empower their digital innovation and create smart factories using truly intelligent machines and automated processes. By applying computational power, artificial intelligence, machine learning, and advanced analytics at the machine’s edge, businesses can tap into yet-undiscovered value from machine data.

Benefits of edge computing

  • Dramatically reduced latency. Without the edge, data transfer between an IoT device and a cloud computing infrastructure adds latency and reduces value; and isn’t fast enough for applications that require instant action, such as autonomous vehicles, customer experiences or industrial applications in a closed-loop system where insights from machine data directly affect the following actions.
  • Value gained instantly from data. Edge computing helps to prioritize data as it reduces the signal to noise ratio. Often data is most valuable at precisely the second it is created, and then its value diminishes over time. Through reduced latency – the time gap between the acquisition and analysis of data – organizations can respond to, or learn from, the data and save lives, perform robotic surgeries, create experiences, deliver outcomes and drive disruptive innovation. Edge Computing can reduce the cycle to just a few milliseconds.
  • Streamlined analysis process. Traditional IoT & Cloud infrastructures transfer all data from dozens, hundreds, or thousands of devices to and from a centralized computing environment. But, if edge devices are capable of making critical decisions locally, they can choose when and how to push that data to the cloud – if it’s necessary at all.
  • Bandwidth reduction. Because high volumes of bandwidth incur a heavy cost for businesses, any cut can make a meaningful impact on the bottom line. Edge computing presents an agile opportunity to keep data close to home whenever possible.
  • No single point of failure. A centralized cloud computing environment, despite all its benefits, creates a single point of failure for making mission-critical decisions on IoT machine data. Edge computing spreads out the risk – an edge platform can still operate – ingesting data and making key decisions even if the central cloud experiences downtime.
  • On-device encryption and security. By reducing the need for data in transfer (and through embedded or on-device data encryption itself), edge computing can provide security benefits to industrial applications requiring the tightest security measures. By minimizing reliance on a single cloud environment to store all company data, there is also less vulnerability.
  • Operations maintained where data connectivity is difficult. Remote or challenging locations, such as offshore oil rigs or deep mining sites, often struggle to maintain strong network connectivity. Edge computing can allow these rough operations to function self-sufficiently using onboard decision-making capabilities.
  • Onboard data streaming made easy. Instant analysis of streaming data plays an important role in the future of smart manufacturing and challenges around IT/OT convergence across industries. Edge computing can open the door to complex analysis on high-velocity streaming data.

Will edge computing overtake cloud computing?

The importance of a data-first strategy is to understand the importance of a multi-cloud environment. Every organization needs to be a digital organization – powered by data, running in a multi-cloud world. That means understanding the dynamics and significance of the edge, the core and the cloud.

Cloud computing immediately presents an opportunity for businesses to reduce up-front IT costs, scale as needed, and manage infrastructure more efficiently. Cloud computing providers have consistently improved both the performance of their product and its ease-of-use, which has resulted in enormous innovation and economic growth. Today, it’s possible for even the smallest of businesses to leverage the power of a supercomputer-strength data center.

Edge computing presents a paradigm shift away from computing architectures of the past, but there is no indication it will displace cloud computing environments. In fact, businesses are gaining the most value out of bridging their cloud and edge environments together and utilizing each to their strengths.

Cloud computing will continue to dominate in applications that require massive computational power or managing large quantities of data, such as deep learning training. That said, edge computing is more than powerful enough for even complex AI applications. An autonomous vehicle’s training may happen in the cloud, but its instantaneous decision-making and execution happens at the edge.

How is edge computing being used today?

By managing and analyzing the enormous volumes of data at the edge, the point of origin, and only transferring the most important results, edge computing has already delivered on the power of analytics, low latency, cost reductions and high flexibility capabilities to a variety of industries:

  • Defense: Soldiers work in some of the most rugged environments imaginable, and require the ability to make split-second, informed and data-driven decisions, in real-time, using technologies that fit in a backpack or in the back seat of a Humvee. Edge computing, with approved military systems that include compute, storage, and networking capabilities, can assess critical situations, analyze communication spectrums being used on the battlefield, and enable real-time decisions that can save lives, divert critical maneuvers and protect nations.
  • Energy: Across all energy use cases including utilities, natural resources, and oil and gas, edge computing is playing a critical role. From real-time workplace safety conditions in rugged environments like on oil rigs and in mines, to improving maintenance by remotely monitoring and tracking equipment conditions, to using smart meters to prevent theft and using smart grid technologies to reduce over consumption, the edge is delivering results. Edge devices eliminate latency and allow the most urgent decisions – such as shutting down operations due to a safety breach – to happen automatically, while also leveraging the raw power of the cloud to make wider analysis of efficiency and possible optimizations.
  • Transportation: Aside from the enormous strides being made in autonomous vehicles, the transportation industry is embedding trains with edge platforms to help analyze the billions of data points per second that are already being collected by dozens of onboard sensors. Edge computing is being used to monitor the health of locomotive equipment in real time, and the industry is working toward autonomous operations applications, as well. For improved operational efficiencies, passenger recognition systems are being used to speed boarding for rail and air travel alike. We’re seeing edge computing use cases across land, sea and air.
  • Healthcare:The healthcare industry is adopting edge solutions in so many ways. From hospitals, to ambulances, to pharmaceutical companies, and more, the industry has grown tremendously. From general biometric wearable medical devices, such as a wristwatch that would monitor motion and heart rate data to a similar wristwatch now monitoring seizure activity, blood sugar levels and the data that builds predictive algorithms in pacemakers, to using onboard computing power. Today these edge devices can detect episodes and notify caregivers or emergency services without the latency of cloud computing and without the risk of being momentarily disconnected from the network.
  • Smart manufacturing: Smart manufacturing facilities can improve safety, efficiency, and quality all while reducing costs through automated processes driven by decisions made on edge computing devices. Edge, IoT, driving insights from machine-to-machine data, can detect when a machine is about to fail and automatically apply contingency plans, such as diverting product to alternative lines or notifying stakeholders.
  • Retail: Infrared sensors create physical heatmaps of where retail customers gather in the store and how they move about, which gives retailers up-to-the-minute insights on performance. They can optimize store layouts, ensure associates are in the right places, and deploy promotions with guaranteed results. Edge use cases for retail include advanced loss prevention strategies, enhanced customer experience and improved inventory management.
  • Smart cities: The future holds limitless possibilities, but to make them a reality, cities must become digital organizations, ecosystems of interconnectivity powered by data, running in a multi-cloud world. The city of the future uses Edge computer vision to protect citizens, sensors to improve traffic flow and smart grids to reduce the impact on the environment. As municipalities upgrade their aging gas or water infrastructures, they can install edge devices capable of monitoring for faults or anomalies. An intelligent water meter, for example, could detect a water main leak and reduce or shut off supply to minimize the impact before services can respond.
  • Environmental monitoring: Warning the public about dangers from fires, volcanoes and earthquakes is difficult because of the speed at which it happens, and how remote the locations where they are most common. Seismic, vibration, air pressure, and temperature sensors, when placed in rugged conditions at the edge, can not only detect anomalies internally, but also know when it’s time to inform public safety organizations.

The amount of data being generated across the globe will continue to grow. Organizations must innovate to find ways of managing that data. Edge computing will play a key role in overseeing and prioritizing data while decreasing costs, lowering necessary bandwidth requirements and reducing latency for delivering insights that can save lives, drive businesses forward and transform the world in which we live.

1 https://www.datanami.com/2018/11/27/global-datasphere-to-hit-175-zettabytes-by-2025-idc-says/

2 https://www.gartner.com/smarterwithgartner/what-edge-computing-means-for-infrastructure-and-operations-leaders/