A digital twin network solution for end-to-end network service level agreement (SLA) assurance

Xiaowen Sun, Cheng Zhou, Xiaodong Duan, Tao Sun
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引用次数: 3

Abstract

With the gradual development of the 5G industry network and applications, each industry application has various network performance requirements, while customers hope to upgrade their industrial structures by leveraging 5G technologies. The guarantee of service level agreement (SLA) requirements is becoming more and more important, especially SLA performance indicators, such as delay, jitter, bandwidth, etc. For network operators to fulfill customer’s requirements, emerging network technologies such as time-sensitive networking (TSN), edge computing (EC) and network slicing are introduced into the mobile network to improve network performance, which increase the complexity of the network operation and maintenance (O&M), as well as the network cost. As a result, operators urgently need new solutions to achieve low-cost and high-efficiency network SLA management. In this paper, a digital twin network (DTN) solution is innovatively proposed to achieve the mapping and full lifecycle management of the end-to-end physical network. All the network operation policies such as configuration and modification can be generated and verified inside the digital twin network first to make sure that the SLA requirements can be fulfilled without affecting the related network environment and the performance of the other network services, making network operation and maintenance more effective and accurate.
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用于端到端网络服务水平协议(SLA)保证的数字孪生网络解决方案
随着5G行业网络和应用的逐步发展,每个行业应用都有不同的网络性能要求,而客户希望通过利用5G技术升级其产业结构。服务级别协议(SLA)要求的保证越来越重要,尤其是SLA性能指标,如延迟、抖动、带宽等。为了满足客户的要求,新兴的网络技术如时间敏感网络(TSN),将边缘计算(EC)和网络切片引入移动网络以提高网络性能,这增加了网络运维的复杂性,也增加了网络成本。因此,运营商迫切需要新的解决方案来实现低成本、高效率的网络SLA管理。本文创新性地提出了一种数字双网(DTN)解决方案,以实现端到端物理网络的映射和全生命周期管理。所有的网络操作策略,如配置和修改,都可以首先在数字孪生网络内部生成和验证,以确保在不影响相关网络环境和其他网络服务性能的情况下满足SLA要求,使网络运维更加有效和准确。
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来源期刊
Digital Twin
Digital Twin digital twin technologies-
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期刊介绍: Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review.  The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches. The scope of Digital Twin includes, but is not limited to, the following areas:  ● Digital twin concepts, architecture, and frameworks ● Digital twin theory and method ● Digital twin key technologies and tools ● Digital twin applications and case studies ● Digital twin implementation ● Digital twin services ● Digital twin security ● Digital twin standards Digital twin also focuses on applications within and across broad sectors including: ● Smart manufacturing ● Aviation and aerospace ● Smart cities and construction ● Healthcare and medicine ● Robotics ● Shipping, vehicles and railways ● Industrial engineering and engineering management ● Agriculture ● Mining ● Power, energy and environment Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.
期刊最新文献
Digital twin-based modeling of natural gas leakage and dispersion in urban utility tunnels Data-driven modeling in digital twin for power system anomaly detection Is it possible to develop a digital twin for noise monitoring in manufacturing? Modeling of cross-scale human activity for digital twin workshop Digital twinning of temperature fields for modular multilayer multiphase pipeline structures
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