2024边缘算力蓝皮书

Industry Overview - Edge computing is becoming a new direction in the computing system, a new format in the information field, and a new platform for industrial transformation, serving as a critical infrastructure for the digital and intelligent transformation of vertical industries [2] - The global digital wave is driving the rapid development of edge computing, which provides key capabilities such as computing, networking, and intelligence to accelerate economic transformation and upgrading [2] - China has issued several policies to promote the development of edge computing, including the "High-Quality Development Action Plan for Computing Infrastructure" and the "14th Five-Year Plan for Digital Economy Development" [9][11] Edge Computing Concept and Characteristics - Edge computing refers to the deployment of computing resources closer to data sources and users, reducing data transmission latency and improving response speed [16] - Edge computing is characterized by resource heterogeneity, network heterogeneity, ubiquitous distribution, low latency, low cost, and high privacy [19] - Edge computing is not just about new facilities or architectures but a new ecosystem that integrates network, computing, storage, application, and intelligence resources at the network edge [17] Key Technologies in Edge Computing - Edge computing infrastructure includes hardware resources (CPU, GPU, storage, network) and resource virtualization, which abstracts physical hardware into logical resources for unified management and scheduling [21][22][27] - Edge computing networks focus on distributed computing resource perception, measurement, scheduling, and control, enabling efficient resource allocation and task execution [33][34][39] - Edge intelligence involves deploying AI models at the edge for real-time decision-making, with key technologies including model optimization, edge training, and edge inference [42][51][60] Edge Computing Applications in Industrial Internet - Edge computing addresses the challenges of high latency, bandwidth pressure, and data security risks in traditional industrial internet applications by bringing computing resources closer to the data source [73] - In industrial internet scenarios, edge computing enables real-time control, fault prediction, and dynamic deployment of applications, improving production efficiency and flexibility [74][77] - A cloud-edge collaborative architecture, supported by 5G networks and edge computing, allows for rapid deployment and dynamic scheduling of industrial applications, enhancing operational efficiency [76][77] Edge Computing Security - Edge computing faces security risks such as node attacks, data privacy breaches, and network vulnerabilities, requiring comprehensive security measures across infrastructure, data, and network layers [65][66][69] - Security technologies for edge computing include lightweight data encryption, secure storage, and privacy-preserving computation, ensuring data integrity, confidentiality, and availability throughout its lifecycle [67][68] - Blockchain technology is being explored to ensure secure and trustworthy transactions in edge computing services, enabling distributed and trusted management of computing resources [72]