Computing Power Network:A Survey  

作　　者：Sun Yukun Lei Bo Liu Junlin Huang Haonan Zhang Xing Peng Jing Wang Wenbo 

机构地区：[1]School of Information and Communications Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]Research Institute of China Telecom Co.,Ltd.,Beijing 102209,China [3]Beijing Branch of China Telecom Co.,Ltd.,Beijing 100032,China

出　　处：《China Communications》2024年第9期109-145,共37页中国通信（英文版）

基　　金：supported by the National Science Foundation of China under Grant 62271062 and 62071063;by the Zhijiang Laboratory Open Project Fund 2020LCOAB01。

摘　　要：With the rapid development of cloud computing,edge computing,and smart devices,computing power resources indicate a trend of ubiquitous deployment.The traditional network architecture cannot efficiently leverage these distributed computing power resources due to computing power island effect.To overcome these problems and improve network efficiency,a new network computing paradigm is proposed,i.e.,Computing Power Network(CPN).Computing power network can connect ubiquitous and heterogenous computing power resources through networking to realize computing power scheduling flexibly.In this survey,we make an exhaustive review on the state-of-the-art research efforts on computing power network.We first give an overview of computing power network,including definition,architecture,and advantages.Next,a comprehensive elaboration of issues on computing power modeling,information awareness and announcement,resource allocation,network forwarding,computing power transaction platform and resource orchestration platform is presented.The computing power network testbed is built and evaluated.The applications and use cases in computing power network are discussed.Then,the key enabling technologies for computing power network are introduced.Finally,open challenges and future research directions are presented as well.

关 键 词：computing power modeling computing power network computing power scheduling information awareness network forwarding 

分 类 号：TP393.0[自动化与计算机技术—计算机应用技术]