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文章摘要
基于SDN与NFV的电力5G网络切片差异化资源分配方案
Differential resource allocation scheme for electric 5G network slices based on SDN and NFV
Received:November 11, 2020  Revised:December 08, 2020
DOI:10.19753/j.issn1001-1390.2021.09.013
中文关键词: 软件定义网络  网络功能虚拟化  5G网络切片  电力5G应用  虚拟资源分配
英文关键词: Software-defined  networks, network  function virtualization, 5G  network slice, electrical 5G  service, virtual  resource allocation
基金项目:国网安徽省电力有限公司科技项目“基于5G和广域低功耗通信技术的泛在电力物联网业务感知接入研究与应用”(SGAHXT00TKJS2000033)
Author NameAffiliationE-mail
Yu Hao* Information Telecommunication Branch State Grid Anhui Electric Power Co,Ltd yuh2158@ah.sgcc.com.cn 
Wang Xiaowei Information Telecommunication Branch State Grid Anhui Electric Power Co,Ltd wangxwhd@163.com 
Wang Tao Information Telecommunication Branch State Grid Anhui Electric Power Co,Ltd wangt2430@ah.sgcc.com.cn 
Wu Hao Anhui Jiyuan Software Co., Ltd, State Grid Information & Telecommunication Group wuhao1@sgitg.sgcc.com.cn 
Dong Yawen Anhui Jiyuan Software Co., Ltd, State Grid Information & Telecommunication Group dongyawen@sgitg.sgcc.com.cn 
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中文摘要:
      基于SDN与NFV技术框架,以满足电力多业务差异化需求为目标,设计了面向大规模采集类业务、低时延电力工控业务、移动大带宽巡检类业务等场景的电力5G网络切片方案;建立了从电力业务需求到网络切片通信、计算资源的映射模型,揭示了两者之间的作用机理与转换关系。以电力多业务传输带宽、时延以及计算资源需求为约束条件,建立了电力5G多业务网络切片运行经济性最优数学模型,提出网络切片通信与计算资源的联合分配算法,实现了电力网络切片资源高效、经济利用。
英文摘要:
      Based on the technical framework of SDN and NFV, the electrical 5G network slicing scheme was designed for the scenarios of large-scale acquisition service, low-delay power industrial control service, mobile large-bandwidth patrol service, etc., so as to meet the differentiated demands of electrical multiple services. The mapping model of electrical service demand onto communication and computing resources of network slices was established, and the mechanism and transformation between them are revealed. Constrained by the transmission bandwidth, time delay and computing resource demand of the electrical multiple services, the economical efficiency optimization problem of electric 5G multi-service network slice is formulated. A joint allocation algorithm of communication and computing resources is proposed to address the issue of efficient and economic resources utilization.
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