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1. 中国科学院计算技术研究所,北京 100190
2. 中国科学院大学,北京 100049
[ "张亚文(1997- ),女,中国科学院计算技术研究所硕士生,主要研究方向为未来网络、网络体系结构。" ]
[ "王淼(1975- ),女,博士,中国科学院计算技术研究所副研究员,主要研究方向为未来网络、网络安全。" ]
[ "王凌豪(1996- ),男,中国科学院计算技术研究所博士生,主要研究方向为未来网络、网络体系结构。" ]
[ "张瀚文(1981- ),女,博士,中国科学院计算技术研究所副研究员,主要研究方向为区块链、网络体系结构。" ]
[ "张玉军(1976- ),男,博士,中国科学院计算技术研究所研究员、博士生导师,中国科学院大学岗位教授,主要研究方向为计算机网络。" ]
网络出版日期:2019-08,
纸质出版日期:2019-08-20
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张亚文, 王淼, 王凌豪, 等. 基于未来应用的未来网络固定特征[J]. 电信科学, 2019,35(8):65-73.
Yawen ZHANG, Miao WANG, Linghao WANG, et al. Fixed features of future networks based on future applications[J]. Telecommunications science, 2019, 35(8): 65-73.
张亚文, 王淼, 王凌豪, 等. 基于未来应用的未来网络固定特征[J]. 电信科学, 2019,35(8):65-73. DOI: 10.11959/j.issn.1000-0801.2019198.
Yawen ZHANG, Miao WANG, Linghao WANG, et al. Fixed features of future networks based on future applications[J]. Telecommunications science, 2019, 35(8): 65-73. DOI: 10.11959/j.issn.1000-0801.2019198.
越来越丰富的网络应用对网络功能和性能提出了更高的要求。车联网需要网络满足低时延和高可靠性要求;远程医疗需要网络有确定性时延和安全保证;工业互联网要求网络满足大连接要求;AR/VR应用要求低时延和高带宽;量子计算也对网络安全等方面提出了新的要求。现有的IP网络由于自身架构的局限性,只提供尽力而为的服务,无法满足未来网络应用需要。调研未来20年内的网络应用,分析未来网络应该具有的功能和性能,通过对车联网、远程医疗、工业物联网、AR/VR和量子计算应用场景的描述,分析满足这些场景分别需要的网络性能,得出未来网络的性能指标。
More and more network applications place higher demands on the network functions and performance.Internet of vehicles requires the network to support low latency and high reliability
telemedicine requires it with deterministic latency and security assurance
the industrial internet requires networks to meet large connections and high reliability
AR/VR applications require low latency and high bandwidth
quantum computing also brings new challenges to network security.Due to the limitations of its own architecture
existing IP networks only provide best-effort services that cannot meet the needs of future network applications.Future network applications in the next 20 years were investigated
the functional and performance of the future network were analyzed.By describing the application scenarios of internet of vehicles
telemedicine
industrial internet AR/VR and quantum computing
the network performance to meet the needs of these scenarios was analyzed and the performance indicators of future networks were obtained.
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