Edge computing in a 5G network

5G enables a user-centered network age by incorporating the concept of network lockable and composable networks. This has resulted in a fundamental shift from “network application design” to “application-centric network delivery”. It marks an important step in network architecture. The question, however, is how the network is built and organized to meet different user needs that may compete for the same network resources with conflicting attributes. Edge computing is one of the key factors helping to achieve this goal.

Need for edge computing

Edge Computing Needs Cloud Computing has revolutionized the way we perform computing tasks, be it hosting an analytics application, web services, or business applications. However, the cloud architecture is challenged when computing servers and data sources with high data volumes are far away. If the use case can wait for remote data to be transported within an acceptable time, this architecture still offers added value. If the computation has to be done in real time, but the data cannot be transported in real time, this architecture fails. Ideally, adding the computing power to the data source is the best option, but it may not be the most economical option.For example, if we want a mobile phone to perform video analysis using a machine learning algorithm with a large image memory, it will be a very expensive and power hungry phone. Multiaccess Edge Computing (MEC) is a natural evolution in the development of mobile base stations and the convergence of telecommunications and IT networks. MEC enables new vertical business areas and services for private and business customers. edge, which deals with local data, carries out the necessary processing to obtain information and only reaches the central cloud computing platform with small amounts of data when required. Edge Computing is not just about hosting it near the end user and the data source, but also how basic architecture builds enables use cases to be realized at the edge. MEC offers a new ecosystem and a new value chain, as they have the ability to authorize third parties that allow them to flexibly and quickly implement innovative applications and services for mobile subscribers, companies and vertical sectors. The addition of this edge computing option adds several interesting ways to build and deploy innovative applications and solutions. Many existing distributed applications can achieve large increases in capacity and performance. For example, the entire multiplayer online gaming experience is improved if some of the logic is processed on a common edge closer to the players. The following diagram shows the various options for implementing application components and distributing information processing along the data path.

Edge Computing on a 5G Network will provide the technological push to support the ability of UltraReliable Low Latency Communication (URLLC) to enable use cases such as V2X and Telesurgery, cobots where an end-to-end -Latency is expected in milliseconds. 5G will also provide eMBB (Enhanced Mobile Broadband) capacity for use cases with high data rates such as augmented reality and virtual reality. Organizations such as the European Telecommunications Standards Institute (ETSI) and the Open Fog Consortium are working towards standardization to create interoperability for edge computing applications. A number of API specifications published by ETSI are now available. The European Telecommunications Standards Institute (ETSI) and the Open Fog Consortium are working together to build a reference architecture of the latest technologies and API specifications for 5G. While the definition of the APIs and their support on the MEC platform is the first step, ensuring their implementation plays a crucial role. Crucial role Participating VNFs that are used to compose the network segment as required for a use case must use the network functions and provide the required information via APIs.Once the various players in the ecosystem come together, MEC offers a number of exciting opportunities for use cases in a wide variety of industries, whether it be for traffic congestion relief, telesurgery or connectivity for emergency services.

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