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1. 中国电信集团有限公司,北京 100033
2. 中国电信股份有限公司研究院,北京 102209
[ "林睿(1975- ),男,中国电信集团有限公司云网运营部副总经理、高级工程师,主要研究方向为云网融合、国际网络规划、区块链、Web3技术等" ]
[ "邢文娟(1989- ),女,中国电信股份有限公司研究院工程师,主要研究方向为未来网络、云网融合、算力网络等" ]
[ "雷波(1980- ),男,中国电信股份有限公司研究院网络技术研究所副所长、正高级工程师,主要研究方向为未来网络、云网融合、算力网络、新型IP网络技术等" ]
网络出版日期:2023-10,
纸质出版日期:2023-10-20
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林睿, 邢文娟, 雷波. 一种面向计算的网络模态——算力网络模态探讨[J]. 电信科学, 2023,39(10):128-135.
Rui LIN, Wenjuan XING, Bo LEI. Discussion on a computation-oriented network modality——computing power network modality[J]. Telecommunications science, 2023, 39(10): 128-135.
林睿, 邢文娟, 雷波. 一种面向计算的网络模态——算力网络模态探讨[J]. 电信科学, 2023,39(10):128-135. DOI: 10.11959/j.issn.1000-0801.2023195.
Rui LIN, Wenjuan XING, Bo LEI. Discussion on a computation-oriented network modality——computing power network modality[J]. Telecommunications science, 2023, 39(10): 128-135. DOI: 10.11959/j.issn.1000-0801.2023195.
新型计算类应用对通信网络提出新的挑战,传统的网络无法满足新型业务灵活部署、定制化服务、安全可信等需求。多模态网络作为一种网络技术与支撑环境分离的发展范式,为支撑各类新型应用的差异化需求提供了新的解决思路。针对多模态网络中面向计算的业务需求,结合算力网络发展态势,探讨了一种面向计算的网络模态,即算力网络模态。首先探讨了算力网络模态的设计,然后对算力网络模态的关键技术进行了分析,最后对算力网络模态的应用场景进行了展望。希望本文的探索能为面向计算的多模态网络应用的未来研究和发展提供借鉴。
New computing applications present new challenges to communication networks
for example
traditional network cannot meet the demands of flexible deployment
customized services
security and trustworthiness of new services.As a development paradigm that separated network technology and supported environment
polymorphic network provided new solutions to support the differentiated demands of various new applications.A type of computation-oriented network modality namely computing power network modality was discussed
for the computation-oriented business requirements based on the development trend of computing power network.Firstly
the design of computing power network modality was investigated
then the key technologies of computing power network modality were analyzed.Finally
the application scenarios of computing power network were prospected.It is hoped that the discussion can provide a reference for the future research and development on application of computation-oriented polymorphic network.
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