• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2022, Vol. 44 ›› Issue (04): 631-644.

• 计算机网络与信息安全 • 上一篇    下一篇

数据中心网络路由研究进展

段晨,彭伟,王宝生   

  1. (国防科技大学计算机学院,湖南 长沙 410073)
  • 收稿日期:2021-06-10 修回日期:2021-12-01 接受日期:2022-04-25 出版日期:2022-04-25 发布日期:2022-04-20
  • 基金资助:
    国家重点研发计划(2018YFB0204301)

Research progress of routing techniques for data center networks

DUAN Chen,PENG Wei,WANG Bao-sheng   

  1. (College of Computer Science and Technology,National University of Defense Technology,Changsha 410073,China)
  • Received:2021-06-10 Revised:2021-12-01 Accepted:2022-04-25 Online:2022-04-25 Published:2022-04-20

摘要: 随着云计算的迅速发展,运营商对数据中心的需求与日俱增。作为数据中心网络的关键技术,路由负责在数据中心内部以及数据中心之间为流量选路,为不同服务质量要求的流量提供差异化的路由转发服务。当数据中心规模比较大时,由于应用不可预估的通信流量以及数据中心网络的拓扑特点,传统因特网路由方法不能提供令人满意的高吞吐率和资源利用率,网络拥塞使得无法为具有服务质量要求的数据流提供带宽或时延保证。首先对数据中心网络的路由问题进行分类分析,然后着重介绍了单播路由方法的研究进展,进一步对拥塞感知的路由方法进行了介绍,最后讨论了新型数据中心网络的路由技术。

关键词: 数据中心网络, 路由协议, 拥塞控制, 联合优化

Abstract: Due to the rapid development of cloud computing, the demand of Internet service providers for data centers is increasing rapidly. As a key technology of data center networks, routing is responsible for selecting routes for network traffic within or across data centers. It can also provide diffe- rential services for traffic with different QoS (Quality of Service) requirements. However, for large-scale data centers, due to the unpredictable traffic of applications and the topology characteristic of data centers, the traditional routing methods in the Internet cannot provide satisfactory high throughput and resource utilization. Network congestion make it hard to provide guaranteed bandwidth or transmission delay for flows with the demand of QoS. This paper classifies and compares the routing problems in data centers, and then emphatically introduces the research progress about the unicast routing methods. Further, the congestion-aware routing methods are introduced. Finally, the routing technology of the new data center networks is discussed.



Key words: data center network, routing protocol, congestion control, joint optimization