5G’s launch and social changes related to the big popularity have led to an unprecedented demand for edge technology. The new edge infrastructure model can help us understand its future.
In the past few years, we have experienced a major impact on the future of edge calculations. The first is a wide range of 5G, which is seriously dependent on edge computing to reduce delays and unlock other functions. The second event is global popularity, which fundamentally changes all aspects of everyday life, especially the way we work and go to school. The increasingly dependence on remote work, telemedicine, video stream, and online education leads to absolute prosperity of the edge calculation. Since many of these behaviors may become permanent changes in our daily lives, it is easy to understand why ICDCs are expected to reach $ 25.6 billion by 2024 global marginals.
In a new survey, Vertiv requires 156 industry professionals to provide insights on its company’s edge computing plan. Because of the increase in the above digitization and application, approximately 59% of the participants have deployed and are deployed or planned to establish a special edge site. In addition, participants expect the percentage of IT infrastructure to the edge to increase from 21% to 27% in five years.
In order to better understand today’s edge deployment and solutions, some key features and use cases of various edge sites are very important. Four years ago, Vertiv learned by publishing its four edge prototypes (data intensive, human delay sensitive, machines for machine delay sensitivity and life key). The prototype is based on factors such as delay, availability and expected growth, as well as security requirements such as encryption, authentication, and compliance. In a new survey, data intensive use cases such as smart factories and high performance computing are the main growth power of edge technology.
Vertiv further updated its initial report, introducing a set of edge infrastructure models and research, providing detailed and practical assessments for edge use cases, industry and environments. Vertiv uses its original prototype as baseline to develop four practical edge infrastructure models to help organize the current and future of the edge. These models – equipment edges (eg, smartphones, IoT devices), micro-edges (eg, retail or factory workshop enterprise sites), distributed edge data centers (eg, warehouses and office enterprise sites) and regional edge data centers – Provide a roadmap for organizations that plan new edge deployment.
The term “edge infrastructure” refers to a physical computational infrastructure (server, power, cooling, cabinet) that deliberately placed anywhere between terminal devices and central data centers. This also includes local managed computing power, which is obviously not fresh for many companies. In fact, some people are re-investing existing on-site infrastructure (such as servers, network cabinets or data centers) to optimize applications and implement new use cases. For example, a multinational pulp and paper manufacturers are implementing data-intensive applications by using their large factory data centers, such as advanced predictive maintenance.
This EDGE ArcheTypes 2.0 report greatly promotes dialogue, and provides a practical and detailed classification method for common edge applications based on factors such as location, external environment, rack number, and required power.
For organizations, these edge prototypes and infrastructure models are more than just the current state of the edge computing. They remind us that although there is no two edge sites that are identical, these models can realize custom equipment and design standardization. But perhaps the most important thing is that they also provide critical information to make smart decisions and deploy edge devices faster to optimize site efficiency and meet service needs.
According to a recent survey of STL Partners, 49% of companies in a specific industry are actively exploring edge computing, which is expected to grow 226% from the total number of edge sites from 2019 to 2025. However, the adoption of different regions is different. This is due to the maturity of adjacent technologies (such as artificial intelligence), existing telecom infrastructure, government policies, and size of certain industries in the country. For example, the manufacturing industry is driving the US and Germany’s edge computing adoption, which is expected to account for the largest share of the edge expenditure of European companies in 2021.