Edge computing is a decentralized alternative to cloud computing that uses a number of smart devices around the “edge” of a network to store data. With the rise of 5G and the Internet of Things (IoT), edge computing is expected to provide numerous benefits to organizations. Such benefits include shorter latencies, improved security, more affordable costs, and responsive data collection. According to a recent report from the research and consulting firm Frost & Sullivan, 90% of industrial enterprises will be using edge computing by 2022.

“To remain competitive in the post-cloud era, innovative companies are adopting edge computing due to its endless breakthrough capabilities that are not available at the core,” David Williams, managing principal at AHEAD, told the Enterprisers Project.“Such benefits include unparalleled local interactivity, reduced impact from service interruptions, improved privacy and security, and reduced latency.”

The Benefits of Edge Computing

Of all the benefits that edge computing can provide to organizations, lightning fast speed and reduced latency will be the most transformative. Moving large amounts of data across a network is time consuming. Edge computing brings computation closer to the user, making data transfer speeds much faster and less cumbersome.

“With edge computing, data is scrutinized and analysed at the site of production, with only relevant data being sent to the cloud for storage. This means much less data is being sent to the cloud, reducing bandwidth use, privacy and security breaches are more likely at the site of the device making ‘hacking’ a device much harder, and the speed of interaction with data increases dramatically,” writes Mark Seddon, CEO of Pact Global, in Information Age.

How will Edge Computing Transform Industries?

Edge computing is expected to pave the way for a number of technological revolutions, such as virtual and augmented reality for smartphone users, and smart cities with interconnected roadways and autonomous vehicles. Edge computing can also transform the industrial sector. Use cases include preventing equipment malfunction and reducing energy expenditure. Another potential application is “smart farming,” in which large sectors of agricultural production can be automated. This in turn could support farmers in boosting crop yields and reducing waste.

The film and gaming industries may be the first to be transformed by edge computing. Film producers must be able to transfer huge video files shot in high resolution. This process is often impossible to do over the internet. In fact, video files are so massive that most are still delivered by vehicle after shoots, rather than digitally. Slow speeds also make computer animation and rendering for film and games difficult.

To help solve this, Amazon Web Services is developing edge computing infrastructure in Los Angeles—a city home to numerous film and gaming companies. There, the tech giant has established the first of what it calls “AWS Local Zones,” an edge computing initiative that delivers low-latency access to Amazon Web Services, the company’s cloud computing platform, in “colocation centers,” rather than solely in Amazon’s vast cloud. These “local zones” provide distributed infrastructure that delivers edge computing and low-latency applications to clients. In each AWS Local Zone is an “AWS Outpost,” a rack that contains AWS cloud infrastructure. So far, Amazon has set up two Local Zones in Los Angeles, and aims to ease operations for the film and gaming industries.

Get Close to the Edge

Many organizations don’t fully understand edge computing and the impact it can have on their business. From providing real-time data analysis to reducing system malfunctions, edge computing can be customized to meet an organization’s specific needs.

Prepare your organization for edge computing integration. Designed to train your entire team to support edge computing, IEEE Introduction to Edge Computing is an online five-course program. To learn more about getting access to these courses for your organization, connect with an IEEE Content Specialist today.

Contact an IEEE Content Specialist to learn more about how this program can benefit your organization.

Interested in getting access for yourself? Visit the IEEE Learning Network (ILN) today!

Resources

Hughes, Matthew. (10 September 2020). What Is Edge Computing, and Why Does It Matter? How To Geek.

Miller, Rich. (4 September 2020). How AWS Cloud Customers Are Using Local Zones for Edge Computing. Data Center Frontier.

Seddon, Mark.(26 August 2020). How the edge and the cloud tackle latency, security and bandwidth issues. Information Age.

Edge computing for business can increase the speed of data processing and analysis. The Internet of Things (IoT) is expected to grow significantly, predicted to reach about $1.6 trillion USD by 2025. Edge technology can help process the copious amounts of data that this surge in IoT-enabled devices will produce.

Because edge computing processes data at the location where the data is being generated, it stores, processes, analyzes and informs actions of users instantaneously. The benefits of edge computing over cloud computing is the speed at which data is analyzed and acted on. See a few ways it can transform a business in the next year.

Real-Time Data Analysis

Data is normally sent to one central location so that it can be analyzed in order to take proper action. However, edge computing allows for the data analysis to take place near the area where it is created.  With edge technology, the data can be kept close to its origin point, which is optimal for nearly real-time decision making.

Augmented Reality

Edge computing has the chance to improve augmented reality. Users will gain a more vivid and realistic augmented reality (AR) experience. By taking advantage of this technology early on, technology firms can be one of the first to provide this upgraded experience to their customers.

Smart Manufacturing

Manufacturing companies can improve their production floors with edge technology. With almost real-time data analysis, it helps improve efficiency and margins. Companies can help avoid line shutdowns by identifying problems while edge computing allows analyzes the collected data.

Security Systems

Large organizations need fast and accurate security systems to help keep their information and buildings safe. Edge computing makes security systems more efficient when operating at a lower bandwidth. Data from security cameras are frequently collected and stored in the cloud through a signal. Edge computing allows each device to have an internal computer that is able to transfer footage to the cloud when it is needed.

Lowered Operational Costs

Because edge computing helps collect data, it does not require a central server to determine what action should be taken. This helps reduce operational costs by needing less storage to hold the information.

Get Close to the Edge with Customized Solutions

Not many organizations know what edge computing means or what impact it can have on their business. For one company, it could mean installing on-site servers that are capable of nearly real-time IoT data analysis. For another company, it could mean reducing organizational costs by using smaller deployments. One key benefit to edge computing it that is can be customized to meet the company’s needs.

Prepare your organization for edge computing integration. Designed to train your entire team to support edge computing, IEEE Introduction to Edge Computing is an online five-course program. The on-demand courses included in this program are:

  • Overview of Edge Computing
  • Practical Applications of Edge Computing
  • Research Challenges in Edge Computing
  • Designing Security Solutions for Edge, Cloud, and IoT
  • Tools and Software for Edge Computing Applications

To learn more about getting access to these courses for your organization, connect with an IEEE Content Specialist today.

Interested in the course for yourself? Visit the IEEE Learning Network (ILN) to learn more.

 

 

Resources

(23 December 2019). 13 Ways Edge Computing Can Benefit Businesses. Forbes.

Lital, Marom. (13 December 2019.) Enter A New Era Of Edge Computing. Forbes.

Edge computing improves the way businesses collect and analyze their data by processing information near the source as opposed to in the cloud. It provides real-time information, which allows companies to make data-driven decisions. Analyst predict that by 2024, the global edge computing market will rise to $9 billion USD. However, only 56% of networking professionals currently have plans to integrate this form of decentralized computing into their organizations, according to the IDG 2018 State of the Network.

As the technology improves, more companies are exploring edge computing capabilities. So how can your organization get a head start on the integration process?

Steps to Integration

Some helpful steps for organizations looking into edge computing include:

Step 1: Virtualize
Updating your infrastructure with virtualized machines can improve reliability, manageability, and create a solid foundation for edge integration. Besides these immediate benefits, transferring workloads to virtual machines should help simplify a future edge integration.

Step 2: Operational Technology (OT) and Information Technology  (IT)
Many companies with separate Integrating Operational Technology and Information Technology are now seeking to bridge the gap. Because they possess dual skill sets, Hybrid OT and Industrial IT specialists may provide greater performance, productivity, agility, and cost-efficiency.

Step 3: Choose a vendor
The total cost of ownership, deployment, management, downtime risk, and operational efficiency are all key factors when selecting an edge computing solution. Be sure to do your research. Before selecting a vendor that works well with your organization, you should consider where the platform will be installed. The physical environment as well as the distance between the location and where the data is collected will likely impact your decision.

Step 4: IIOTint
Industrial Internet of Things (IIOT) devices use smart sensors to collect and analyze data instantaneously. This data allows industrial devices to make decisions and act on them, which optimizes quality, workforce, and engagement.

Step 5: Security
Increased interconnectivity also increases security vulnerabilities. Security risks include software hacks and system manipulation— both of which can cause breaches in customer data and bring operations to a standstill. Investing in cybersecurity and IIOT systems that provide regular monitoring and detection in the event of malware infection is crucial to keeping your information safe.

Benefits of Edge Computing

Staying up and running: Edge computing can benefit many industries, especially those that operate remotely. Because retail companies generally have more than one location, edge computing works well from both point of sale and security perspectives. Like retail companies, financial institutions, including banks, also have multiple branches and can benefit from edge computing.

Quick processing: The Internet of Things provides massive amounts of data. Because the data generally needs to be analyzed instantly in cloud applications, communication must be fast in order to be efficient.

Cost savings: Edge computing can reduce organizational costs by using smaller deployments. This helps businesses avoid building infrastructure at every site.

Getting Up to Speed

Prepare your organization for edge computing integration. Designed to train your entire team to support edge computing, IEEE Introduction to Edge Computing is an online five-course program. The on-demand courses included in this program are:

  • Overview of Edge Computing
  • Practical Applications of Edge Computing
  • Research Challenges in Edge Computing
  • Designing Security Solutions for Edge, Cloud, and IoT
  • Tools and Software for Edge Computing Applications

To learn more about getting access to these courses for your organization, connect with an IEEE Content Specialist today.

Interested in the course for yourself? Visit the IEEE Learning Network (ILN) to learn more.

 

Resources

(23 August 2019). What Is Edge Computing? Forbes.

(16 September 2019). The analyst projects the global edge computing market to grow from USD 2.8 billion in 2019 to USD 9.0 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 26.5%.Yahoo! Finance. 

Conboy, Alan. (17 September 2019). What’s next for the Internet of Things? Going to the edge. IoT News

(16 September 2019). Five steps to successful edge integration. It Web.

With the constant growth of connected devices, as well as persistent phone and tablet use, traditional centralized networks may soon be overwhelmed with traffic. Gartner predicts that 25 billion connected devices will generate unprecedented amounts of raw data by 2021. This problem will demand next-level responsiveness and reliability— and it’s just two years away.

Edge computing promises to address the impending data surge with a distributed IT architecture that moves data center resources toward the network periphery.

Meeting Needs

Edge computing topology can reduce latency for time-sensitive applications, support IoT performance in low bandwidth environments, and ease overall network congestion.

  • Latency: By virtue of physical proximity, time-to-action drops when data analysis occurs locally rather than at a remote data center or cloud. Because data processing and storage will occur at or near edge devices, IoT and mobile endpoints can react to critical information in near real-time.
  • Congestion: Edge computing can also ease the growing pressure on the wide-area network. This can improve efficiency and keep bandwidth requirements in check This is a significant challenge in the age of mobile computing and IoT. Instead of overwhelming the network with a constant flood of relatively insignificant raw data, edge devices can analyze, filter, and compress data locally.
  • Bandwidth: Edge computing topology can support IoT devices in environments with unreliable network connectivity. Such environments include cruise ships, offshore oil platforms, rural agricultural plants, remote military outposts, and ecological research sites. Even with a hit-or-miss connection to the cloud, local compute and storage resources can enable continuous operation.

Edge Challenges

The more intelligent an edge device, the more intensive its configuration, deployment, and maintenance requirements. Organizations will need to decide on a case-by-case basis if distributed computing benefits (like cheaper WAN connectivity) justify the increased overhead at the network’s periphery. Gartner Research Director Santhosh Rao cautions that the costs associated with deploying and operating edge computing technology can pile up quickly. Although edge computing comes with many benefits, IT leaders will have to make sure a they outweigh its costs.

Security is also a major concern associated with edge computing. Some IT professionals worry that a decentralized computing architecture will make a network more vulnerable to attack by creating excess backdoor entry points. However, other people argue that placing an edge-computing gateway between network endpoints and the internet can actually improve security. Because more data will be processed and stored locally, travel to and from the cloud will be reduced.

Despite uncertainties, analysts expect organizations will increasingly rely on edge computing technology in the years to come. According to Rao, just 10% of enterprise data was created and processed outside of a centralized data center/cloud in 2018. He predicts that number will climb to 75% by 2025.

Introduction to Edge

Prepare your organization for the future by training your entire team to support edge technology now. IEEE Introduction to Edge Computing is a new five-course program designed for organizations investing heavily in edge. Courses include:

  • Overview of Edge Computing
  • Practical Applications of Edge Computing
  • Research Challenges in Edge Computing
  • Designing Security Solutions for Edge, Cloud, and IoT
  • Tools and Software for Edge Computing Applications

Connect with an IEEE Content Specialist for access today.

 

Resources

Irei, Alissa. (Apr 2019). Understand why edge computing technology matters. SearchNetworking.

Jones, Nick. (Sept 2018). Top Strategic IoT Trends and Technologies Through 2023. Gartner.