Author: Zen and the Art of Computer Programming
"Edge computing" (Edge computing), as one of the important branches of emerging cloud computing technology in recent years, can make full use of the edge information of data for calculation and processing, thereby achieving low-latency transmission, real-time and high reliability of data. In actual production environments, there are often massive amounts of raw data. How to mine valuable business information from these raw data has become a huge challenge. Especially in the medical and health field, traditional centralized-based models cannot meet the needs because a large amount of patient data is difficult to analyze clearly after being aggregated in the central system. Therefore, "edge computing" technology brings a brand-new solution - that is, combining artificial intelligence (AI) and genetic programming (GP) methods to analyze massive health data and realize data processing. Discover one-stop services for business decisions.
This article aims to systematically explain the relevant theoretical foundations, algorithm principles and applications in edge computing. By introducing in detail the definition, background knowledge, characteristics, and three levels of edge computing:
- Data layer: The focus of edge computing is the real-time processing of data, so data must be stored and processed on edge devices;
- Service layer: Edge computing technology can provide real-time business services, including data analysis, business decision-making, and real-time monitoring;
- Computing layer: Edge computing technology relies on the high degree of parallelism of computing resources to effectively perform complex computing tasks. Then the correlation, differences, advantages and limitations between genetic programming and edge computing are introduced. Finally, we discuss how to construct genetic algorithms and genetic operators when using genetic programming in edge computing. This article mainly focuses on GP's neural network and CNN model, combined with actual cases, to show readers the application of GP in edge computing.