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1. 清华大学计算机科学与技术系,北京 100084
2. 北京信息科学与技术国家研究中心,北京 100084
3. 中关村实验室,北京 100083
4. 清华大学网络科学与网络空间研究院,北京 100084
[ "陈浩(1995- ),男,北京人,清华大学博士生,主要研究方向为网络功能虚拟化、高可用服务功能链" ]
[ "杨芫(1984- ),男,四川乐至人,博士,清华大学助理研究员,主要研究方向为互联网体系结构、下一代互联网、路由与传输协议" ]
[ "徐明伟(1971- ),男,辽宁朝阳人,博士,清华大学教授,主要研究方向为网络体系结构、下一代互联网、网络空间安全" ]
[ "裴丹(1973- ),男,河北唐山人,博士,清华大学副教授,主要研究方向为基于机器学习的智能运维" ]
[ "尤艺霖(1999- ),男,山东淄博人,清华大学硕士生,主要研究方向为可编程网络交换机、高性能网络功能" ]
网络出版日期:2022-09,
纸质出版日期:2022-09-25
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陈浩, 杨芫, 徐明伟, 等. 支持多模态网络的可扩展异构服务功能链并行编排部署系统[J]. 通信学报, 2022,43(9):1-11.
Hao CHEN, Yuan YANG, Mingwei XU, et al. Parallel orchestration and deployment system for scalable heterogeneous service function chain supporting polymorphic network[J]. Journal on communications, 2022, 43(9): 1-11.
陈浩, 杨芫, 徐明伟, 等. 支持多模态网络的可扩展异构服务功能链并行编排部署系统[J]. 通信学报, 2022,43(9):1-11. DOI: 10.11959/j.issn.1000-436x.2022181.
Hao CHEN, Yuan YANG, Mingwei XU, et al. Parallel orchestration and deployment system for scalable heterogeneous service function chain supporting polymorphic network[J]. Journal on communications, 2022, 43(9): 1-11. DOI: 10.11959/j.issn.1000-436x.2022181.
针对如何在万台服务器规模的多模态数据中心网络内,实现秒级的服务功能链扩容编排部署问题,提出一种可扩展的异构服务功能链并行编排部署(SHOD)系统。SHOD 系统对数据中心进行分区,并采用资源使用量最小化的并行编排器设计,从而将服务功能链扩容编排时间降低至秒级。SHOD系统采用满足单一权职原则的中介者设计模式,实现了对异构设备的可扩展的编排部署和服务功能链建链。实验结果表明,SHOD系统的扩容编排时间下降至Daisy的
<math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mn>1</mn> <mrow> <mn>12</mn></mrow> </mfrac> </math>
,同时仅引入1.5倍的CPU占用率开销。
Aiming at the problem of second-level service function chain orchestration and deployment in the polymorphic data center with the scale of 10 000 servers
a scalable heterogeneous SFC parallel orchestration and deployment (SHOD) system was proposed.The scale-out orchestration time of service chain was reduced to seconds by partitioning the data center and adopting a parallel orchestrator design that minimizes resource usage.Using a mediator design model that satisfies the single-responsibility principle
the heterogeneous equipment scalable orchestration and deployment were realized as well as service function chain building chain.Experimental results show that in a data center with 10 000 servers
the scale-out orchestration time of SHOD system is reduced to
<math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mn>1</mn> <mrow> <mn>12</mn></mrow> </mfrac> </math>
of the existing system-Daisy
while only 1.5 times CPU utilization overhead is introduced.
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