91ÊÓÆµ¹ÙÍø

The Three Key Enterprise Applications of Edge Computing Are Closely Related to Cloud, Industrial Internet of Things, and 5G
Knowledge

The Three Key Enterprise Applications of Edge Computing Are Closely Related to Cloud, Industrial Internet of Things, and 5G

Edge Computing is a distributed network architecture that allows data to be processed and analyzed closer to its source, moving resources such as computing, storage, and network bandwidth as close to users (or endpoints) as possible. Industrial Internet of Things (IIoT), artificial intelligence, big data analysis to 5G networks, edge computing can be said to be the expansion and extension of IT environments and computing technologies that seek common ground in differences.
Published: Aug 15, 2022
The Three Key Enterprise Applications of Edge Computing Are Closely Related to Cloud, Industrial Internet of Things, and 5G

From cloud computing, Industrial Internet of Things (IIoT), artificial intelligence, big data analysis to 5G networks, edge computing can be said to be the expansion and extension of IT environments and computing technologies that seek common ground in differences. In 2020, as the COVID-19 pandemic has changed the world, and emerging ecosystems have emerged, edge computing is entering a critical transition phase, becoming a ¡°new¡± imperative for an enterprise¡¯s overall strategy.

Edge Computing is a distributed network architecture that allows data to be processed and analyzed closer to its source, moving resources such as computing, storage, and network bandwidth as close to users (or endpoints) as possible to alleviate bandwidth constraints and reduce data errors and transmission delays.

According to the latest research by Frost & Sullivan, industrial enterprises are turning to edge computing to save network bandwidth, promote operational security, improve data transmission efficiency and reduce organizational costs. Edge computing is expected to become a "basic technology¡±, which will be adopted by up to 90% of industrial enterprises in 2022. The Multi-access Edge Computing (MEC) market is expected to reach a compound annual growth rate of 157.4%, with annual revenue increasing from $64.1 million in 2019 to $7.23 billion in 2024.

At present, as the network connects the industrial environment more closely, edge computing will become an important hub, managing enterprise automation equipment and remote capital equipment monitoring, and processing equipment (stranded assets), automated robots, and self-driving cars. and data access and traffic management in smart factories, helping large enterprises and telecom service providers to build Industrial Internet of Things (IIoT) to deploy enterprise-specific wireless networks to accelerate Industry 4.0, automated mining, precision agriculture, smart healthcare, The development of emerging technologies such as smart retail.

Frost & Sullivan analysts further pointed out that the combination of the newly launched 5G technology and multi-access edge computing will create more opportunities for telecom service providers to innovate products and expand business opportunities. Cooperate with capable cloud service providers to design solutions for technologies such as AR/VR, robotics, self-driving cars, and drone delivery. Under the public cloud architecture, provide enterprise users with 5G-based end-to-end services, and edge computing is also a consumer an important bridge between consumers and service providers. There are three mainstream applications of edge computing at this stage:

Cloud Computing and Edge Computing Are Inside and Outside of Each Other and Complement Each Other

Cloud computing provides enterprises with computing, storage and network services. In a hybrid cloud architecture, edge computing is the intermediary between devices, clouds or data centers. It is mainly used to access device data and provide instant analysis as a transmission pipeline between the data source and the cloud to reduce round trips. Delays that may occur in data centers and various clouds. Since the edge can process and filter the data that needs to be sent to the cloud, it can also reduce bandwidth costs. The local processing characteristics of edge computing help enterprises gain local data and dominance.

In the future technical environment, edge computing can be regarded as an extension of the cloud architecture. In the hybrid structure, the functions of traditional cloud computing and edge computing can be combined, and both parties can make up for their respective weaknesses. Taking autonomous driving as an example, the reason why humans cannot fully rely on self-driving systems is that the systems must make lightning-fast and 100% accurate decisions. If a child suddenly rushes into the street, there should be no delay before the system sends the command to brake the car.

Among them, cloud computing needs to be connected back to the centralized data center, and it takes more time to process data at the other end. Conversely, the characteristic of edge computing is to process data at the "edge" of the network, saving the time of connecting to a "distant" data center, not only avoiding unnecessary communication and storage costs, but also applying machine learning and AI to identify Business-impacting data patterns that shorten response delays to reduce the risk of car crashes.

For retail, medical and other industries where IoT is relatively mature, edge computing can help reduce latency. Taking the retail industry facing the post-pandemic era as an example, making full use of edge computing in operational processes such as automated checkout, product tracking, sensor tracking and supply chain reporting will improve the consumer experience. In healthcare, edge networks collect data from wearable devices to understand treatment methods, support remote diagnosis, monitor patients, and help maintain patient health.

The General Trend of IT and OT Integration, Edge Computing Has Become A Common Language

Edge computing can be said to be one of the cores of the Industrial Internet of Things (IIoT), and it is also an important key for enterprises to accelerate their journey to Industry 4.0. Taking factory equipment management as an example, using edge computing as a gateway to multiple devices, it must track, monitor and manage all connected fleets of devices to ensure that IoT devices are indeed functioning securely in configuration and deployment, the edge It must provide secure access to docked devices, monitor operational health, detect and remotely troubleshoot, and even manage software, patch updates and hardware maintenance. From device deployment to decommissioning, each device will undergo lifecycle management through edge computing device management services.

In the past, information technology (IT) and operational technology (OT) belonged to two different disciplines with their own management goals. As cloud-based IoT deployments become more and more massive, IIoT devices and connected machines have become network virus intrusion points with the new target of malicious attacks, the need for integrated management of IT and OT is gradually derived, and edge computing has become a common language between the two. individual burdens of the personnel. At this stage, industrial companies including manufacturing, transportation, oil and gas, and smart buildings will rely on edge computing platforms to realize the next generation of automated smart production.

5G + Edge Computing Join Forces to Create A Delay-Free Audio And Video Entertainment Experience

5G networks are transforming the manufacturing, healthcare, retail and automotive industries. The infrastructure running on telecom provider facilities connected via 5G networks has low latency. Telecom providers are moving towards a multi-tenant, managed infrastructure layer that bridges the gap between cloud and end users. Public cloud providers including Amazon, Google, IBM and Microsoft are actively partnering with telcos to instead bring some managed services to 5G-based edge locations.

In recent years, cloud computing has been integrated into almost everyone's life. We place an order for shopping from an app on a smartphone, and receive the item a few hours later at the specified time and address. We use Netflix to watch series and movies on our phones and Spotify to listen to music almost anywhere in the world.

Next, 5G and multi-access edge computing will affect the technological innovation progress of enterprises and consumers in the next few years, especially 5G applications such as games and AR/VR/UHD streaming media for the vast consumer market. What is expected is an audio-visual entertainment experience with richer sound and light effects and no delay.

Published by Aug 15, 2022 Source :

Further reading

You might also be interested in ...

Headline
Knowledge
Exploring Major Types of Plastics and Their Properties
Plastic materials are indispensable raw materials in modern manufacturing. Based on their chemical structures and processing characteristics, plastics are mainly classified into two categories: thermoplastics and thermosets. Understanding the properties of these two types aids in material selection and product design, thereby enhancing manufacturing efficiency and product performance.
Headline
Knowledge
Analysis of Green Plastic Manufacturing
With the rise of environmental awareness and the global push for sustainable development goals, traditional plastics face increasing environmental pressure due to their challenges in decomposition and recycling. In response, the manufacturing industry is actively developing and applying eco-friendly plastic materials to build green manufacturing systems. This article explores the types, characteristics, and industrial applications of eco-friendly plastics to assist industry transformation and upgrading.
Headline
Knowledge
Key Parameters for Manufacturing High-Quality Plastic Products
Plastic materials are widely used across various industries due to their lightweight, ease of molding, and versatile properties. 91ÊÓÆµ¹ÙÍøever, different types of plastics exhibit distinct mechanical, thermal, chemical, and dimensional stability characteristics, which directly affect the final product¡¯s performance and service life. Therefore, understanding the performance indicators of plastics is fundamental to designing and manufacturing high-quality plastic products.
Headline
Knowledge
Dry Cutting vs. Wet Cutting: The Balance of Energy Saving, Cost, and Quality
In CNC machining, the choice of cooling method is not simply a technical preference but a multi-faceted trade-off involving cost control, machining quality, tool life, and production line stability. Both dry cutting and wet cutting have their advantages and limitations. To stand out in the fiercely competitive market, companies must shift from pursuing the ¡°theoretically optimal¡± to the ¡°contextually optimal¡± solution.
Headline
Knowledge
The Unsung Heroes of Cutting Tool Coatings: Performance Differences from TiN to DLC
In CNC machining, cutting tool coatings are a critical yet ¡°invisible¡± factor in boosting production efficiency and reducing costs. Although coating thickness is only a few microns, it significantly enhances tool hardness and wear resistance, optimizes heat dissipation, and improves cutting speed and machining accuracy. From classic Titanium Nitride (TiN) to advanced Diamond-Like Carbon (DLC) coatings, different coating materials not only offer varying hardness and heat resistance but also affect tool lifespan and machining adaptability.
Headline
Knowledge
Comprehensive Overview of Plastic Processing Methods: Mastering Key Technologies and Applications
Plastic products play an indispensable role in modern manufacturing, and various plastic processing techniques are crucial for achieving product diversity and efficient production. The following introduces five common and important plastic processing methods, helping readers gain a thorough understanding of their principles, features, and application scopes.
Headline
Knowledge
Fabric Knowledge Base: A Guide to Fiber Applications, From Beginner to Expert Selection
Textile fiber is the fundamental element that determines fabric performance and product suitability. Whether you are a designer, manufacturer, or consumer, understanding the unique characteristics of different fibers and their suitable applications is crucial for precise material selection and informed purchasing. This article will systematically introduce the applications of major natural and synthetic fibers and explain how blending them can overcome the limitations of single fibers, providing versatile functional solutions and helping you build a comprehensive knowledge base of textile applications.
Headline
Knowledge
What is Liquid Injection Molding?
Liquid Injection Molding (LIM) is a manufacturing process that involves injecting liquid silicone rubber (LSR) into precision molds, followed by heating and curing to form high-precision, complex plastic components. Compared to traditional thermoplastic injection molding, LIM offers superior accuracy and the capability to produce more intricate shapes, making it especially suitable for applications demanding high performance and reliability.
Headline
Knowledge
Precision Mold Development and Manufacturing: The Core Technology of Modern Plastic Production
Precision molds form the foundation for the quality and efficiency of plastic part molding. In today¡¯s highly competitive manufacturing environment, the design and fabrication of molds directly impact a product¡¯s functional performance and market competitiveness. Excellent mold development requires not only precise engineering design but also the integration of advanced machining technologies and rigorous quality control to achieve efficient and stable mass production.
Headline
Knowledge
The Magical Journey of Milk Tea
Pouring smooth, rich milk into robust black tea with a unique aroma, then stirring it all together, gets you a cup of milk tea. But do you really know what defines milk tea, and how it differs from the milk tea we enjoy today?
Headline
Knowledge
The Connection Between Textiles and Biomimicry: A Fabric Revolution Inspired by Nature
Lotus leaves after rain shed water droplets without a trace; delicate spider silk is stronger than steel. These are not coincidences but exquisite designs evolved by nature over millions of years. The textile industry is learning from this great designer¡ªnature itself¡ªthrough biomimicry, transforming natural wisdom into fabrics that perform better and are more eco-friendly.
Headline
Knowledge
What Is a CNC Machine Tool? Unveiling the Secret Behind Modern Factories¡¯ High Efficiency
CNC (Computer Numerical Control) machine tools are automated devices that control machining processes through computer programming. Known for their high efficiency, precision, and stability, they are widely used across industries such as aerospace, automotive, mold making, electronics, medical, and energy. With the rise of Industry 4.0 and smart manufacturing, CNC technology continues to evolve toward multi-axis machining, intelligent control, remote monitoring, and integrated processes. This widespread adoption not only enhances manufacturing performance but also reshapes the workforce, shifting traditional manual skills toward digital operation and system integration¡ªbringing greater production flexibility and competitiveness to businesses.
Agree