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.