BBRv2+: Towards balancing aggressiveness and fairness with delay-based bandwidth probing
文献类型：期刊论文
| 作者 | Yang, Furong1,7,8; Wu, Qinghua2,7,8; Li, Zhenyu2,7,8; Liu, Yanmei3; Pau, Giovanni4,5; Xie, Gaogang6 |
| 刊名 | COMPUTER NETWORKS
 |
| 出版日期 | 2022-04-07 |
| 卷号 | 206页码:13 |
| 关键词 | Congestion control BBR BBRv2 |
| ISSN号 | 1389-1286 |
| DOI | 10.1016/j.comnet.2022.108789 |
| 英文摘要 | BBRv2, proposed by Google, aims at addressing BBR's shortcomings of unfairness against loss-based congestion control algorithms (CCAs) and excessive retransmissions in shallow-buffered networks. In this paper, we first comprehensively study BBRv2's performance under various network conditions and show that BBRv2 mitigates the shortcomings of BBR. Nevertheless, BBRv2's benefits come with several costs, including slow responsiveness to bandwidth dynamics and low resilience to random losses. We then propose BBRv2+ to address BBRv2's performance issues without sacrificing its advantages over BBR. To this end, BBRv2+ uses delay information to cautiously guide the aggressiveness of its bandwidth probing. In doing so, it achieves fast responsiveness to bandwidth dynamics and fairness against loss-based CCAs at the same time. BBRv2+ also integrates mechanisms for improved resilience to random losses and network jitter. Extensive experiments demonstrate the effectiveness of BBRv2+. Specifically, it achieves 25% higher throughput and comparable queuing delay in comparison with BBRv2 in high-mobility network scenarios. |
| 资助项目 | Beijing Natural Science Foundation[JQ20024] ; Natural Science Foundation of China[U20A20180] ; Natural Science Foundation of China[62072437] ; CAS-Austria Joint Project[171111KYSB20200001] ; Emilia-Romagna region (Italy), POR-FESR 2018-2020 Project LiBER ; Macao Polytechnic Institute project[RP/ESCA-01/2020] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000773753100001 |
| 出版者 | ELSEVIER |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/18882]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Li, Zhenyu |
| 作者单位 | 1.Sorbonne Univ, Paris, France 2.Purple Mt Labs, Nanjing, Peoples R China 3.Alibaba Grp, Hangzhou, Peoples R China 4.Univ Bologna, Bologna, Italy 5.Univ Calif Los Angeles, Los Angeles, CA USA 6.Chinese Acad Sci, Comp Network Informat Ctr, Beijing, Peoples R China 7.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 8.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Furong,Wu, Qinghua,Li, Zhenyu,et al. BBRv2+: Towards balancing aggressiveness and fairness with delay-based bandwidth probing[J]. COMPUTER NETWORKS,2022,206:13. |
| APA | Yang, Furong,Wu, Qinghua,Li, Zhenyu,Liu, Yanmei,Pau, Giovanni,&Xie, Gaogang.(2022).BBRv2+: Towards balancing aggressiveness and fairness with delay-based bandwidth probing.COMPUTER NETWORKS,206,13. |
| MLA | Yang, Furong,et al."BBRv2+: Towards balancing aggressiveness and fairness with delay-based bandwidth probing".COMPUTER NETWORKS 206(2022):13. |
入库方式： OAI收割
来源：计算技术研究所
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