计算机科学
电力网络
功率(物理)
电力工业
电力系统
电气工程
工程类
电
量子力学
物理
作者
Yuan Liang,Geyang Xiao,Ziqiang Hua,Wenjuan Xing,Yuanhao He,Xiaofeng Cheng
标识
DOI:10.1109/cac59555.2023.10450820
摘要
With the deepening development of information and the industrial revolution, data has become an equally important factor in production as labor and capital. Extracting enormous value from data requires massive computing power to support it, and an era of a digital economy with computing power as the core productive force is upon us. As chip manufacturing processes approach their limits and the growth of individual machine computing power faces bottlenecks, there has been a rise in research on computing and network convergence techniques. This has paved the way for the emergence of computing power networks. Through unified abstraction modeling and measurement of underlying infrastructure, using artificial intelligence algorithms to map user needs to resource requirements, and through collaborative scheduling of computing and network resources, different types of businesses with different needs are scheduled to optimal nodes along optimal paths, aiming to achieve improved user experience and global resource optimization. The development of computing power network standards is crucial for infrastructure building. It offers operators, resource providers, and users valuable reference values for technology research and selection in infrastructure, capability construction, operation, management, and maintenance.
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