意图驱动的云网融合按需编排

doi:10.11959/j.issn.1000-0801.2022272

Abstract

Abstract:

With the rapid development of cloud computing and Internet technology, user service demands show a diversified development trend, and cloud-network convergence has become an important choice for the development of the current information and communication industry.At present, cloud-network convergence only achieves simple cloud-network interconnection, which can not overcome the heavy problems of diversified service demands and massive heterogeneous resource supply.Therefore, promoting cloud-network convergence still requires strengthening the on-demand delivery capability of cloud services.Intent-driven network, as a new networking paradigm, becomes a viable option to solve this dilemma.The research status of cloud-network convergence was sorted out, and the research necessity of intention-driven cloud-network convergence business on-demand orchestration was summarized.Furthermore, the intent-driven cloud-network convergence architecture and its key technologies were proposed and analyzed, and on this basis, an on-demand orchestration model of cloud business was proposed.Finally, in the hybrid cloud interconnection and industrial Internet scenarios, the intent-driven on-demand orchestration model of cloud business was analyzed, and the future prospects were introduced.

Key words: intent-driven network, cloud-network convergence, on-demand orchestration

CLC Number:

TP393

Lulu ZHANG, Chungang YANG, Dong WANG, Ying OUYANG, Tong LI, Junjie GUO, Ru DONG. Intent-driven cloud-network convergence on-demand orchestration[J]. Telecommunications Science, 2022, 38(10): 107-119.

Figures/Tables 6

References 30

[1]	郭健 . 基于SDN架构的云网融合技术研究与实践[J]. 电信工程技术与标准化, 2022,35(3): 27-32.
	GUO J . Research and practice of cloud network integration technology based on SDN architecture[J]. Telecom Engineering Technics and Standardization, 2022,35(3): 27-32.
[2]	中国电信集团公司. 云网融合2030技术白皮书[R]. 2020.
	China Telecom Corporation. China Telecom cloud network convergence 2030 technical white paper[R]. 2020.
[3]	ZHOU Y Q , LIU L , WANG L ,et al. Service-aware 6G:an intelligent and open network based on the convergence of communication,computing and caching[J]. Digital Communications and Networks, 2020,6(3): 253-260.
[4]	ZHOU Y Q , TIAN L , LIU L ,et al. Fog computing enabled future mobile communication networks:a convergence of communication and computing[J]. IEEE Communications Magazine, 2019,57(5): 20-27.
[5]	PANG L , YANG C G , CHEN D Y ,et al. A survey on intent-driven networks[J]. IEEE Access, 2020(8): 22862-22873.
[6]	CHU Y H , CHEN Y T , CHOU Y C ,et al. A simplified cloud computing network architecture using future internet technologies[C]// Proceedings of 2011 13th Asia-Pacific Network Operations and Management Symposium. Piscataway:IEEE Press, 2011: 1-4.
[7]	KIM Y , KANG S , CHO C ,et al. SDN-based orchestration for interworking cloud and transport networks[C]// Proceedings of 2016 International Conference on Information and Communication Technology Convergence (ICTC). Piscataway:IEEE Press, 2016: 303-307.
[8]	BANIKAZEMI M , OLSHEFSKI D , SHAIKH A ,et al. Meridian:an SDN platform for cloud network services[J]. IEEE Communications Magazine, 2013,51(2): 120-127.
[9]	JIN Y C , WEN Y G . When cloud media meet network function virtualization:challenges and applications[J]. IEEE MultiMedia, 2017,24(3): 72-82.
[10]	张鑫 . 基于随愿网络的运营商云网融合业务的研究与实现[J]. 电信科学, 2021,37(8): 136-141.
	ZHANG X . Research and implementation of the IBN for cloud-network convergence service of operators[J]. Telecom-munications Science, 2021,37(8): 136-141.
[11]	张鑫 . 面向下一代互联网的随愿网络研究与实现[J]. 电信科学, 2019,35(12): 43-48.
	ZHANG X . Research and application of the IBN for the next generation Internet[J]. Telecommunications Science, 2019,35(12): 43-48.
[12]	BESHLEY M , PRYSLUPSKYI A , PANCHENKO O ,et al. SDN/cloud solutions for intent-based networking[C]// Procee dings of 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT). Piscataway:IEEE Press, 2019: 22-25.
[13]	CHAO W , HORIUCHI S . Intent-based cloud service management[C]// Proceedings of 2018 21st Conference on Innovation in Clouds,Internet and Networks and Workshops (ICIN). Piscataway:IEEE Press, 2018: 1-5.
[14]	WU C , HORIUCHI S , TAYAMA K . A resource design framework to realize intent-based cloud management[C]// Proceedings of 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). Piscataway:IEEE Press, 2019: 37-44.
[15]	AKLAMANU F , RANDRIAMASY S , RENAULT E ,et al. Intent-based real-time 5G cloud service provisioning[C]// Pro ceedings of 2018 IEEE Globecom Workshops. Piscataway:IEEE Press, 2018: 1-6.
[16]	KHAN T A , ABBASS K , RAFIQUE A ,et al. Generic intent-based networking platform for E2E network slice orchestration ＆ lifecycle management[C]// Proceedings of 2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS). Piscataway:IEEE Press, 2020: 49-54.
[17]	ABBAS K , AFAQ M , AHMED K T ,et al. Slicing the core network and radio access network domains through intent-based networking for 5G networks[J]. Electronics, 2020,9(10): 1710.
[18]	周洋程, 闫实, 彭木根 . 意图驱动的6G无线接入网络[J]. 物联网学报, 2020,4(1): 72-79.
	ZHOU Y C , YAN S , PENG M G . Intent-driven 6G radio access network[J]. Chinese Journal on Internet of Things, 2020,4(1): 72-79.
[19]	毕以峰 . 电信云网络架构及对云网融合的要求[J]. 信息通信技术, 2019,13(2): 26-31.
	BI Y F . Telecom cloud network architecture and the require-ments for cloud network integration[J]. Information and Com-munications Technologies, 2019,13(2): 26-31.
[20]	史凡 . 云网络：云网融合的新型网络发展趋势[J]. 中兴通讯技术, 2022,28(1): 8-10.
	SHI F . Cloud network:new network development trend of cloud network convergence[J]. ZTE Technology Journal, 2022,28(1): 8-10.
[21]	OUYANG Y , YANG C G , SONG Y B ,et al. A brief survey and implementation on refinement for intent-driven networking[J]. IEEE Network, 2021,35(6): 75-83.
[22]	MEHMOOD K , KRALEVSKA K , PALMA D . Intent-driven autonomous network and service management in future networks:a structured literature review[J]. arXiv preprint,2021,arXiv:2108.04560.
[23]	ABHASHKUMAR A , KANG J M , BANERJEE S ,et al. Supporting diverse dynamic intent-based policies using janus[C]// Proceedings of the 13th International Conference on Emerging Networking Experiments and Technologies. New York:ACM Press, 2017: 296-309.
[24]	MAHTOUT H , KIRAN M , MERCIAN A ,et al. Using machine learning for intent-based provisioning in high-speed science networks[C]// Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics. New York:ACM Press, 2020: 27-30.
[25]	LI Y H , YIN X , WANG Z L ,et al. A survey on network verification and testing with formal methods:approaches and challenges[J]. IEEE Communications Surveys ＆ Tutorials, 2018,21(1): 940-969.
[26]	SOURI A , NOROUZI M . A state-of-the-art survey on formal verification of the Internet of things applications[J]. Journal of Service Science Research, 2019,11(1): 47-67.
[27]	KHALILI H , KHODASHENAS P S , FERNANDEZET C,al . Benefits and challenges of software defined satellite-5G communication[C]// Proceedings of 2019 15th Annual Conference on Wireless on-Demand Network Systems and Services (WONS). Piscataway:IEEE Press, 2019: 1-4.
[28]	BECKETT R , GUPTA A , MAHAJAN R ,et al. A general approach to network configuration verification[C]// Proceedings of the Conference of the ACM Special Interest Group on Data Communication. New York:ACM Press, 2017: 155-168.
[29]	DENG J , ZHENG Q B , LIU G Y ,et al. A digital twin approach for self-optimization of mobile networks[C]// Proceedings of 2021 IEEE Wireless Communications and Networking Conference Workshops. Piscataway:IEEE Press, 2021: 1-6.
[30]	马瑞新, 李泽阳, 陈志奎 ,等. 知识图谱推理研究综述[J]. 计算机科学, 2022,49(S1): 74-85.
	MA R X , LI Z Y , CHEN Z K ,et al. Review of reasoning on knowledge graph[J]. Computer Science, 2022,49(S1): 74-85.

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应用场景	方案	文献
云计算	提出的简化云计算网络体系架构应用OpenFlow协议技术实现虚拟资源的动态按需供应，以提高云计算网络的服务按需供应能力和安全性	[6]
数据中心网络	提出一种基于SDN编排的智能DCI技术，通过传输网连接分布式云网络，在满足用户需求方面，需要用户提供SLA需求和全局虚拟网络策略	[7]
云计算	提出用户可以使用声明性和可查询的 API 为顶层云编排应用提供网络服务，用户可通过此API制定控制访问策略、查询网络状态信息	[8]
媒体数据传输	提出了 NFV 使能的媒体云端到端服务模型和分层服务模型，支撑媒体数据传输业务；同时指出资源分配和调度、路由和转发请求策略的设计、决策优化框架以及实时自优化等关键技术或可成为未来云网融合的发展方向	[9]

应用场景	方案	文献
基于意图的网络化云环境	提出了SDN和NFV的集成方法，通过在云环境中部署额外的网络资源，解决物理资源全部或很少被占用的问题	[12]
运营商在云环境中的网络管理	提出 ICSM 框架，通过对服务请求解析器、资源组合器以及配置参数生成器，实现运营商对云资源的自动化决策过程，解决了云服务需求种类繁多且手动配置困难的问题	[13]
	提出 IBCS 框架，将云用户的服务需求映射为资源需求，同时根据性能要求和运行策略实现资源的精确管理，并为该资源管理框架提出一种基于SLA的预防机制	[14]
5G网络切片场景	提出基于OTT意图的网络框架，采用意图的声明式方法，在自动化完成网络切片任务的同时，隐藏了底层基础设施的复杂性	[15]
多域接入、传输网和核心网的编排	提出一个基于意图的自动化平台，可以在多个域、站点和编排器自动协调和管理网络生命周期。还使用机器学习来预测资源状态，进行主动决策，以自动管理切片生命周期	[16]
核心网和接入网	设计并实现了一个基于意图的网络切片系统，可以有效地对核心网和接入网资源进行分割和管理。为用户提供高级的网络配置，系统会相应地部署和配置所请求的资源，实现网络配置过程的自动化	[17]
无线电接入网	构建意图驱动无线电接入网，将IDN演进到6G无线接入网络，详述了所构建网络的系统结构和关键技术（如意图冲突解决、组网性能优化等）	[18]

Intent-driven cloud-network convergence on-demand orchestration

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