What is edge computing in simple terms?

This forms a decentralized data infrastructure where data isn’t stored all in one place, as opposed to the centralized infrastructure used in the cloud. A dependency on connectivity is an inherent flaw of all edge topologies. The infrastructure that supports many edge devices still has its foundation in cloud data centers. If the connection between the edge device or network and the cloud is lost, the topology may fail to perform altogether.

what is edge computing in simple terms

These can incorporate machine learning and artificial intelligence, taking advantage of their proximity to the source of input. In this way, smart applications can recognize patterns in the environment of the edge devices on which they operate, and then use this information to adjust how they function and the services they provide. Edge computing can enhance the speed at which applications process data, making instantaneous computing convenient for end-users.

Edge computing definitions

The usage of IoT devices has significantly exploded in the last few years. In parallel, what has also increased is the amount of bandwidth that they consume. The sheer volume of data generated from these devices impacts a company’s private cloud or data center, making it difficult to manage and store all the data. Not all data collected by edge sensors is sent to data centers, which reduces data management needs, transmission costs and costs needed to process and store data in the cloud. Low data latency, less data traffic and spending less time transmitting data between networks means quicker response times on software applications.

  • It also added a host of sensors, monitors and air redirects to maintain ideal temperatures.
  • Edge computing makes it fast and easy to expand internationally, by eliminating costly and time-consuming network builds.
  • Edge computing works by essentially bringing computation and data storage closer to the sources of data.
  • Enterprises also use edge computing to comply with data sovereignty laws, such as the General Data Protection Regulation (GDPR), by keeping any sensitive data close to the source.
  • The first vital element of any successful technology deployment is the creation of a meaningful business and technical edge strategy.
  • When it comes to the efficient programming of IoT devices, the need for speed is real.

One oft-touted example is a « smart city, » in which the local government can collect information on things like utility usage and road traffic patterns in real time and, subsequently, take swift action. In an era of immense technological transformation, the networking industry is on the edge of its seat for promising technologies and network architectures — like edge computing. Many IT professionals are now questioning whether edge computing will replace the cloud.

What is edge computing and how is it different from the network edge?

In some cases, the amount of time saved in an edge computing-based process can make what would be an otherwise unsafe situation safer. In healthcare, edge computing has saved, and will continue to save, lives. Within manufacturing, edge computing improves the efficiency of production while simultaneously creating a safer environment for workers.

In this way, you can prevent the east-west movement of threats once they are detected. With FortiNAC’s automation policies, you can custom-design how you respond to different types of threats, enabling you to maintain a more secure network without compromising uptime. If a production incident makes it unsafe for that robot to keep operating, it needs to receive that information as fast as possible so it can shut down. See how we work with a global partner to help companies prepare for multi-cloud. One of the most cutting-edge applications of edge is frictionless store checkout in retail, allowing customers to pick up items off the shelves and walk out the door, getting checked out without waiting in line.

Edge vs. cloud: How to explain

Zenlayer provides powerful services that can take your business closer to users at the edge of the network. Or if you already have a setup, our Cloud Networking service can connect your edge servers to the public cloud faster. Edge computing is a distributed IT framework that involves pushing select compute and storage functions away from central nodes, and closer to users in global markets.

what is edge computing in simple terms

Large physical distances between these two points coupled with network congestion can cause delays. As edge computing brings the points closer to each other, latency issues are virtually nonexistent. Smaller edge data centers in secondary cities or even rural areas might be part of this architecture, as could cloud containers that can be quickly transferred between clouds and systems as needed. For one, the edge also introduces new security challenges if you don’t implement the appropriate security measures. This is because, edge devices are often distributed across various locations, making them susceptible to physical security threats. Edge computing optimises Internet devices and web applications by bringing computing closer to the source of the data.

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To illustrate, a company may operate out of Chicago but have pockets of customers and edge points of presence (PoPs) in places like London, Moscow, and Tokyo. Extending IT to the mission’s edge, where edge computing, bolstered by IoT and 5G connectivity, is transforming federal government. Edge computing refers to the idea of computing as close to the source of data created and instructions executed as possible. Edge computing will grow with cloud, AI, cloud-native, etc., but we must understand that it will vary by application.

what is edge computing in simple terms

It was encrypted, but what a huge wake-up call when systems can grow legs and walk away. Edge computing and cloud computing are two different approaches to computing. Cloud computing centralises computation and data storage in large data centres, while edge computing brings computation and data storage closer to the sources of data. And so, rather than traveling to the cloud, the data processing is done “on the edge.”  Sometimes that means the processing occurs where it’s launched — in the device itself.

Where Is Edge Computing Used?

Edge computing plays a major role in the healthcare system because much of patient care depends on immediately available information. Edge devices are used to instantly convey data regarding the vital signs of patients, embedded systems allowing doctors and nurses to make important decisions quickly and with accurate information. In the old days, we had one big, central machine that people logged in to in order to take advantage of computational power.

Manufacturing machinery predictive maintenance necessitates near-real-time accuracy. With so many commoditized products today, getting data to customers faster should be a significant difference. The performance and uptime of automated equipment are essential in the manufacturing industry. Manufacturing downtime in the automotive industry was estimated to cost $1.3 million per hour in 2006.

What Is Edge Computing: Definition, Benefits, Drawbacks and Use Cases

Edge computing allows you to compute with lower latency, save bandwidth, and use smart applications that implement machine learning and artificial intelligence. Further, a telecom can set up a distributed cloud that links a series of on-premises servers designed to support complex edge computing setups. There are also potential uses for edge computing in the industrial sector. These include allowing manufacturers to gather data on equipment and make rapid adjustments and, thereby, reduce energy use and equipment degradation. This could potentially open the door to new forms of computing, for which immediacy is key.

Autonomous Vehicles

ROBO is an office located at a distance from its organization’s headquarters. Edge computing architecture can benefit ROBO workers and users, as the architecture can replicate relevant and necessary cloud services locally. Network latency refers to the time packets take to traverse a network from one point to another. Edge computing architecture can reduce latency for time-sensitive resources, as well as the potential for bottlenecks. The main purpose of edge computing is to reduce long haul data transfers. With edge computing, you can avoid routing most of your data from the source location to the network core, leading to dramatic operational improvements.

Edge computing captures, processes, and analyzes data near the physical location where it is most needed. It significantly reduces the time required to make decisions based on the data, essential for real-time decision-making situations. Standardizing edge computing devices and ensuring their interoperability are other significant hurdles. There is no way to leverage digital radio communications or management standards to operate these systems. In this article, we’re delving deep into the meaning of edge computing, exploring what it is, how it works, and its potential impact on the future of infrastructure management. In the era of digital transformation, data is at the heart of innovation.