基于图神经网络的虚拟网络功能部署优化

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Heegon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, DongNyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, JamesWon‐Ki Hong
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引用次数: 0

摘要

在Kim et al中,以下错误发表在第10页和表6至表10。在第10页,无意中在一个不正确的显示方程上添加了一个方程标签(13)。因此,后续的方程和相应的引用也相应地重新编号。在表6到表10中,“数据中心”一词在整篇文章中被错误地改为“左数据”。网上版本已更正。我们为这个错误道歉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph neural network‐based virtual network function deployment optimization
In Kim et al, the following errors were published on page 10 and Tables 6 to 10. On page 10, an equation label (13) was inadvertently added on an incorrect displayed equation. Hence, the succeeding equations and corresponding citations were renumbered accordingly. While on Tables 6 to 10, the word “Data center” was mistakenly changed to “Data left” throughout the article. The online version has been corrected. We apologize for this error.
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来源期刊
International Journal of Network Management
International Journal of Network Management COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
5.10
自引率
6.70%
发文量
25
审稿时长
>12 weeks
期刊介绍: Modern computer networks and communication systems are increasing in size, scope, and heterogeneity. The promise of a single end-to-end technology has not been realized and likely never will occur. The decreasing cost of bandwidth is increasing the possible applications of computer networks and communication systems to entirely new domains. Problems in integrating heterogeneous wired and wireless technologies, ensuring security and quality of service, and reliably operating large-scale systems including the inclusion of cloud computing have all emerged as important topics. The one constant is the need for network management. Challenges in network management have never been greater than they are today. The International Journal of Network Management is the forum for researchers, developers, and practitioners in network management to present their work to an international audience. The journal is dedicated to the dissemination of information, which will enable improved management, operation, and maintenance of computer networks and communication systems. The journal is peer reviewed and publishes original papers (both theoretical and experimental) by leading researchers, practitioners, and consultants from universities, research laboratories, and companies around the world. Issues with thematic or guest-edited special topics typically occur several times per year. Topic areas for the journal are largely defined by the taxonomy for network and service management developed by IFIP WG6.6, together with IEEE-CNOM, the IRTF-NMRG and the Emanics Network of Excellence.
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