通信学报 ›› 2021, Vol. 42 ›› Issue (11): 66-78.doi: 10.11959/j.issn.1000-436x.2021189

• 学术论文 • 上一篇    下一篇

端到端时延上限确定的服务链部署算法

王泽南1,2, 张娇2,1, 汪硕1,2, 黄韬1,2, F.RichardYu3   

  1. 1 网络通信与安全紫金山实验室,江苏 南京 211111
    2 北京邮电大学网络与交换技术国家重点实验室,北京 100876
    3 加拿大卡尔顿大学,渥太华 K1S 5B6
  • 修回日期:2021-09-11 出版日期:2021-11-25 发布日期:2021-11-01
  • 作者简介:王泽南(1994− ),男,浙江湖州人,网络通信与安全紫金山实验室在站博士后,主要研究方向为网络功能虚拟化、网络智能等
    张娇(1986− ),女,河北保定人,博士,北京邮电大学副教授,主要研究方向为数据中心网络、网络功能虚拟化、软件定义网络、未来网络体系架构等
    汪硕(1991− ),男,河南灵宝人,博士,北京邮电大学讲师,主要研究方向为数据中心网络、软件定义网络、网络流量调度等
    黄韬(1980− ),男,重庆人,博士,北京邮电大学教授,主要研究方向为网络体系架构、软件定义网络、云网融合等
    F.Richard Yu(1974− ),男,加拿大卡尔顿大学教授、加拿大工程院院士,主要研究方向为互联网自主智能、自动驾驶、网络空间安全等
  • 基金资助:
    国家重点研发计划基金资助项目(2020YFB1805200);国家自然科学基金资助项目(61872401);国家自然科学基金资助项目(62132022);霍英东青年教师基金资助项目(171059)

Service chain deployment algorithms for deterministic end-to-end delay upper bound

Ze’nan WANG1,2, Jiao ZHANG2,1, Shuo WANG1,2, Tao HUANG1,2, F.Richard Yu3   

  1. 1 Purple Mountain Laboratories, Nanjing 211111, China
    2 State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
    3 Carleton University, Ottawa K1S 5B6, Canada
  • Revised:2021-09-11 Online:2021-11-25 Published:2021-11-01
  • Supported by:
    The National Key Research and Development Program of China(2020YFB1805200);The National Natural Science Foundation of China(61872401);The National Natural Science Foundation of China(62132022);Fok Ying-Tong Education Foundation(171059)

摘要:

针对现有服务链部署算法无法保证通过服务链的每一个数据包的端到端时延问题,提出端到端时延上限确定的服务链部署算法。首先,基于网络演算得到服务链的端到端时延上限;然后,通过协同优化服务链路由与虚拟网络功能节点资源分配,实现确定的服务链端到端时延上限。实验结果表明,所提算法能在提高服务链接收数量的同时,保证通过服务链的每一个数据包的端到端时延均满足业务需求。

关键词: 端到端时延, 服务链, 网络功能虚拟化, 网络演算

Abstract:

To solve the problem that the current service chain deployment algorithms cannot guarantee the delay of each packet passing through the service chain (SC), a SC deployment algorithm for deterministic end-to-end delay upper bound was proposed.First, the end-to-end delay bound of the SC was derived based on network calculus.Then, the deterministic end-to-end delay bound of the SC was achieved by collaboratively optimizing the routing of SC and the resource allocation of the virtual network function nodes in the SC.The experimental results show that the proposed algorithm can effectively improve the volume of accepted SC while guaranteeing that the end-to-end delay of each packet satisfies the delay requirements.

Key words: end-to-end delay, service chain, network function virtualization, network calculus

中图分类号: 

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