学术视点
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题目:Toward Sustainable 6G Networks: A Taxonomy and Framework for Network Digital Twins(面向可持续6G网络:网络数字孪生的分类与框架)
作者:T. C. Chuah, C. -Y. Yeoh, R. Jeffery, M. Sheraz and M. Ahmed
来源:Intelligent and Converged Networks(智能与融合网络), vol. 7, no. 3, pp. 238-271.
摘要:Network Digital Twins (NDTs) are emerging as key enablers of intelligent, data-driven automation in next-generation networks. However, existing definitions of NDTs remain generic and overlook telecom-specific requirements such as multi-granular synchronization, modeling fidelity, and integration with Operational and Business Support Systems (OSS/BSS). This paper addresses these gaps by introducing a capability-based taxonomy comprising four classes of NDTs, characterized along key dimensions including purpose, synchronization granularity, modeling detail, and contextual alignment. We further align this taxonomy with functional categories adapted from the TeleManagement (TM) Forum's Digital Twin for Decision Intelligence (DT4DI) initiative, clarifying how different NDT capabilities support decision intelligence across the 6G lifecycle. Building on this foundation, we present a standards-compliant architectural framework grounded in the TM Forum Open Digital Architecture (ODA) to enable deployment of diverse NDTs through OSS/BSS platforms. The paper's contributions are primarily conceptual, encompassing the proposed taxonomy, architectural framework, and representative 6G use cases, and are complemented by a survey that synthesizes recent research, industry developments, and quantitative economic assessments of NDT adoption, all aimed at informing academic and industry stakeholders on the state of the art and the key challenges associated with scalable and sustainable NDT deployment.
编者译:网络数字孪生正成为下一代网络中智能化、数据驱动自动化的关键使能技术。然而,现有的网络数字孪生定义较为宽泛,往往忽视了多粒度同步、建模保真度以及与运营和业务支撑系统(OSS/BSS)集成等电信领域的特定需求。针对上述差距,本文引入了一种基于能力的分类法,涵盖四类网络数字孪生,并依据目的、同步粒度、建模细节及上下文一致性等关键维度进行特征刻画。此外,将该分类法与电信管理论坛(TM Forum)“决策智能数字孪生(DT4DI)”倡议中的功能类别相对齐,阐明了不同的网络数字孪生能力如何在6G全生命周期中支撑决策智能。在此基础上,提出了一种符合标准、基于TM Forum开放数字架构(ODA)的架构框架,旨在通过OSS/BSS平台实现各类网络数字孪生的部署。本文主要以概念为主,包括提出网络数字孪生分类法与架构框架,并列举了具有代表性的6G用例。此外,本文还通过综述梳理了最新研究成果、行业进展,归纳网络数字孪生应用的定量经济评估方法与结果,为学术界与产业界把握技术现状、应对网络数字孪生可扩展与可持续部署的关键挑战提供依据。
题目:Trust Model and Privacy Protection in Edge Computing Environment(边缘计算环境下的信任模型与隐私保护)
作者:Z. Guan, Y. Song, R. Li, X. Ouyang, S. Sun and D. Qu
来源:Intelligent and Converged Networks(智能与融合网络), vol. 7, no. 3, pp. 306-326.
摘要:A hierarchical generalized trust model and corresponding privacy protection strategy are proposed for the edge computing environment. In the trust model, the direct trust between nodes for different interaction relationships within the intra-layers and across different layers are calculated, the indirect trust of the non-direct interaction node is obtained by the recommendation trust from the direct interaction nodes, and then the comprehensive trust is acquired by combining direct trust and indirect trust. Based on the proposed trust model, privacy is protected by encrypting transmission content between trusted interaction nodes. A symmetric encryption algorithm is applied between the interaction nodes in the intra-layer. For both of interaction nodes in cloud/edge layers, the key length is set based on their environment trust. Meanwhile, for terminals, the key length is set based on their environment trust and available resource. An asymmetric encryption is applied between the inter-layer interaction nodes. For an interaction from one node in higher layer to the other in lower layer, the key is calculated based on the environment trust of the node in lower layer and the similarity of the request content from nodes in lower layer. For the opposite interaction, the key is calculated based on the environment trust of the node in higher layer and the available resource of the node in lower layer. While the consideration of environment trust improves the interaction security and helps prevent privacy leakage, the consideration of available resource adjusts the key length adaptively, which reduces overhead and improves calculation efficiency. Experimental results show that the trust model has superior performance, in terms of interaction success rate, accuracy rate, recall rate, etc., than other trust models and the privacy protection policy has less overhead than fixed key length settings.
编者译:本文提出一种面向边缘计算环境的分层广义信任模型及相应的隐私保护策略。在该信任模型中,首先计算层内及跨层节点间的直接信任;其次,基于直接交互节点的推荐信任获取非直接交互节点的间接信任;最后,将直接信任与间接信任融合,得到综合信任。基于所提出的信任模型,通过对可信交互节点间的传输内容进行加密可实现隐私保护:层内交互节点间采用对称加密算法;云/边缘层交互节点间的密钥长度依据环境信任度设定;终端节点的密钥长度则依据环境信任度与可用资源共同设定。层间交互节点间采用非对称加密。对于从高层节点向低层节点的交互,密钥依据低层节点的环境信任度及低层节点请求内容的相似度计算;对于反向交互,密钥依据高层节点的环境信任度及低层节点的可用资源计算。环境信任度的引入提升了交互安全性并有助于防止隐私泄露,可用资源的考量则使密钥长度能够自适应调整,从而降低开销并提高计算效率。实验结果表明,该信任模型在交互成功率、准确率、召回率等指标上优于其他信任模型,且该隐私保护策略的开销低于固定密钥长度设置。
题目:欧洲数据空间建设的经验借鉴及对我国的启示
作者:汤怡洁、徐雯、李崴
来源:数据与计算发展前沿, 2026, 8(4): 87-98.
摘要:数据作为数字时代的战略性生产要素,其高效流通与治理能力已成为国家竞争力的关键。本文旨在系统梳理欧洲数据空间建设的核心举措与实践经验,为我国加快数据空间规划布局、完善数据基础制度提供借鉴。采用文献调研与案例分析法,梳理欧洲数据空间的建设概况及发展阶段,从政策法规等六大关键维度切入,分析其构建协同生态的实践举措。欧洲数据空间建设已形成整体推进机制,其“总体框架+垂直领域”建设模式与多元合作模式成效显著。我国应借鉴经验,构建“制度+技术+生态”三位一体发展格局:以完善数据基础制度为保障,以核心技术攻关与标准统一为支撑,以多元协同与国际合作为动力,打造兼具中国特色与国际竞争力的数据空间,赋能数字经济高质量发展。
题目:FaaS在生物信息领域应用综述
作者:王晓光、曹荣强、万萌、李凯、王彦棡、王珏
来源:数据与计算发展前沿, 2026, 8(4): 179-190.
摘要:系统化地梳理生物信息领域计算模式从传统高性能计算(High Performance Computing,HPC)到函数即服务(Function as a Service,FaaS)的演进路径,结合生物信息领域应用场景对FaaS的概念以及平台特征、HPC与FaaS融合模式进行分析。本文调研了2003-2024年间来自主流会议、期刊以及主流云厂商平台文档的70余篇文献。采用文献调研与架构对比相结合的方法,按照计算模式演变脉络梳理生物信息学应用,界定FaaS及主流平台特性;并选取基因组学、测序、遗传学与数据挖掘等代表性场景进行应用案例归纳,结合其局限探讨与HPC结合的三种模式。FaaS在多类生信任务中可简化部署、提升弹性并加速研究迭代,同时逐渐以“HPC加云、云中HPC、HPC即服务”三种模式不断融合,适用不同场景的需求。FaaS应用已在基因组学、测序、遗传学与数据挖掘等生信领域取得了成功,但仍存在资源受限等一系列问题。相信未来会有更多将FaaS与传统HPC相融合的解决方案。
题目:数据领域标准术语冲突现状分析
作者:黄科满、张鼎镇、朱尧、刘艳芳、李洋、杜小勇
来源:大数据,2026,12(05):150-171.
摘要:当前我国数据领域标准化工作已进入体系化推进的新阶段,术语冲突问题凸显。为了系统识别与治理术语冲突,本研究从术语定义出发,构建包含10种冲突类型的术语冲突系统化分类体系与检测方法,并以全国标准信息公共服务平台收录的612项数据相关标准为数据来源,构造了包含24575个冲突术语对的数据集。在此基础上,从类型分布、时序演化、标准类别、关键术语、核心标准、起草主体差异等多个维度展开系统性分析。分析表明:层级冲突、引用冲突和范围冲突构成冲突主体;冲突数量在标准化工作快速推进期出现增幅,标准的持续推出并未带来术语一致性的提升;数据技术与数据资源领域标准是当前术语冲突集中区域;“元数据”是存在冲突最明显的术语,基础类标准与应用类标准的冲突类型差异显著,交叉领域标准冲突类型分布均衡;政府与事业单位层级冲突占比较高,企业引用冲突占比最高。基于上述分析,本文从概念体系构建、全生命周期术语协调、多主体协同治理、引用管理规范四个维度提出了针对性工作建议,为我国数据领域术语工作的完善提供实证支撑与决策参考。
