The future of the automotive industry lies in software-controlled, autonomous, networked vehicles with electric drives and the linking of production and supply chains. The result severely impacts the manufacturer’s value chain: from research and development to sales, production, and after-sales. Key elements for the changes are factory edge and vehicle edge.

Edge computing moves data processing from centralized data centers to remote, distributed locations. This means data can be consolidated and analyzed before being sent to an on-site data center. This eliminates network connection challenges in terms of bandwidth or latency. By reducing transmission delays, one can also avoid service outages.

Edge computing is currently being massively promoted, especially in the telecommunications sector in the 5G context. Service providers are modernizing their networks by moving their workloads and services from the core networks in data centers to the edge. And the automotive sector is also increasingly relying on edge computing, i.e., the provision of computing resources away from central data centers directly on a device such as a robot in the factory hall or a vehicle.

Edge computing in manufacturing and the vehicle there are two key edge scenarios for a vehicle manufacturer: factory edge and vehicle edge. Factory Edge is the basis for more robust networking of production and logistics and for optimizing production capacities and logistics processes. This enables automobile manufacturers to implement their current initiatives in an optimized manner. On the one hand, they are modernizing production processes to manufacture and deliver new models quickly, safely, and cost-effectively.

On the other hand, they are increasing the degree of agility of production plants through automation, smart manufacturing, or AI to support the transition from rigid mass production to customized manufacturing. There is a need to analyze large amounts of data quickly. And this task occurs to a large extent directly on the production line with IT networking with the plants or control systems, i.e., at the factory edge. Predictive maintenance, data sharing services, or asset management.

The topic of vehicle edge is that a computing unit in the vehicle is either independent or in connection with an edge gateway close to the vehicle, approximately at the roadside, works. Vehicle edge is of growing importance for the evolution of a classic car into a bright, connected car that needs to analyze data and make decisions in real-time. In addition.

Vehicle Edge is the basis of a software-defined vehicle in which features can be dynamically loaded and activated. In principle, future more connected vehicles will be intelligent hubs that are part of a much broader ecosystem with which they interact. For example, a car could provide environmental information or data to optimize parking space usage in cities. Ultimately, Vehicle Edge is also required to implement innovative concepts such as Car-as-a-Service, Mobility-as-a-Service, or Smart City.

Edge computing or 5G are key technologies, but they are not the only ones driving change in the automotive industry. V2X communication, i.e., the possibility for the vehicle edge to communicate with other vehicles, roadside infrastructure or core platforms, or LiDAR (Light Detection and Ranging) systems for autonomously driving cars, also plays important roles. However, one fact cannot be disputed: Edge computing and 5G are indispensable prerequisites for the efficient use of these technologies.

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A recent study by Vertiv, which was carried out together with technology analysts, concludes that edge computing is an important growth market for network operators, especially in connection with the 5G expansion. By merging existing networks with existing cell towers, central locations, and edge data centers, platforms can be built for the development of new edge services.

It is therefore not surprising that 36 percent of the interviewees in the study attribute the most important role to network operators when it comes to new sales opportunities with edge computing. The prefabricated modular data centers (PFM) in particular will be the focus for network operators when providing future edge infrastructures. But what is Edge anyway and why is this technology so important for 5G expansion.

Edge As A Driver Of Digitization

Edge computing is first and foremost a decentrally organized data processing. This takes place directly at the edge of the network, the so-called edge. This means that the data is generated and processed directly in the network periphery. The different edge types can be divided into three categories, which are defined according to the respective areas of application:

• Legacy Edge: This category describes local data processing that takes place directly at companies in individual branches or locations. These are, for example, small data centers that only provide their performance for on-site use, or individual servers. A change is currently taking place here because more and more of these solutions are either being migrated to the cloud or being replaced by colocation providers as part of “as-a-service” offers.

• Geographic Edge: The so-called content delivery networks and cloud services can be classified here. In most cases, these are hosted in colocation data centers. These are usually located where the data is needed, i.e. close to large cities or metropolitan areas.

• Dynamic Edge: This category primarily contains devices in the Internet of Things, but also the individual sensors of a smart city or wearables such as smartwatches. Since these devices are usually only connected to the Internet on a mobile basis but are becoming more and more complex at the same time, they rely on corresponding data connections, so they benefit massively from the current expansion of 5G mobile radio.

The Network Edge Becomes The Center Of Computing

The workload is currently shifting more and more to where the computing power is needed directly – i.e. to the edge of the network. Accordingly, the need for collocation offers as well as for own edge computing solutions directly at the companies is increasing. The companies are currently investing heavily in the provision of computing capacity at the edge. Because if you bring data processing directly to users, you can differentiate yourself from the competition and position yourself in the market as a pioneer of digitization.

Another study by Vertiv from 2019 shows that there is a need for edge computing. This survey of more than 800 IT professionals had shown that 53 percent expect the edge market to double within the next five years. One in five even anticipates growth of 400 percent and more.

This is also an opportunity for the sales partners, who can offer additional added value through their specialist knowledge and practical experience. Because the edge units usually function like small data centers – which means that they have to be set up by appropriately trained specialist personnel and, ideally, they have to be administered remotely.

Also Read: Top Benefits Of A Cloud Based Contact Center

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