摘要
在通信体系从5G朝着6G逐步演进的过程中,边缘计算因具备分布式的部署特性,成为破解传统云计算时延较长、带宽占用量较大等一系列难题的关键技术。本文主要围绕边缘计算资源分配与效率优化在实际工程中的具体应用开展深入探讨,详细分析边缘节点在计算资源、存储资源以及带宽资源调度方面所面临的技术挑战点,清晰阐释资源分配对于提升通信系统性能的内在支撑原理,并进一步提出基于业务特性的动态优化办法以及协同调度的具体途径。此项研究借助工程化的技术手段,致力于达成边缘计算资源与通信网络的高度适配,进而切实降低端到端的传输时延,同时提升系统资源的利用效率,为工业控制、车联网等对时延极为敏感的业务以及物联网中海量连接相关业务,提供坚实可靠的技术支持,具备显著的工程实践价值。
In the process of the gradual evolution of the communication system from 5G to 6G,edge computing has become a key technology to solve a series of problems such as long latency and large bandwidth consumption of traditional cloud computing due to its distributed deployment characteristics.This paper focuses on the specific application of edge computing resource allocation and efficiency optimization in practical projects,analyzes the technical challenges faced by edge nodes in computing resources,storage resources and bandwidth resource scheduling,clearly explains the internal supporting principle of resource allocation for improving the performance of communication systems,and further proposes dynamic optimization methods based on business characteristics and specific ways of collaborative scheduling.With the help of engineering technology,this research is committed to achieving a high adaptation of edge computing resources and communication networks,thereby effectively reducing end-to-end transmission delay,while improving the utilization efficiency of system resources,providing solid and reliable technical support for industrial control,the Internet of Vehicles and other businesses that are extremely sensitive to delay,as well as massive connection related businesses in the Internet of Things,with significant engineering practice value.
作者
冯新波
王成
FENG Xin-bo;WANG Cheng(Shandong Postal and Telecommunications Planning and Design Institute Co.,Ltd.,Ji′nan 250101,China)
出处
《价值工程》
2025年第26期43-45,共3页
Value Engineering
关键词
通信系统
边缘计算
资源分配
communication system
edge computing
resource allocation
