WiseTrans: Adaptive Transport Protocol Selection for Mobile Web Service

被引:4
|
作者
Zhang, Jia [1 ,2 ]
Dong, Enhuan [1 ,3 ]
Meng, Zili [2 ,3 ]
Yang, Yuan [1 ,3 ]
Xu, Mingwei [1 ,2 ,3 ]
Yang, Sijie [4 ]
Zhang, Miao [4 ]
Yue, Yang [1 ]
机构
[1] Tsinghua Univ, Dept Comp Sci & Technol & BNRist, Beijing, Peoples R China
[2] Tsinghua Univ, Inst Network Sci & Cyberspace, Beijing, Peoples R China
[3] Peng Cheng Lab PCL, Shenzhen, Peoples R China
[4] Baidu Inc, Beijing, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Protocol Selection; Mobile Web Service; ML-based Networking Systems; CONGESTION CONTROL;
D O I
10.1145/3442381.3449958
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To improve the performance of mobile web service, a new transport protocol, QUIC, has been recently proposed. However, for large-scale real-world deployments, deciding whether and when to use QUIC in mobile web service is challenging. Complex temporal correlation of network conditions, high spatial heterogeneity of users in a nationwide deployment, and limited resources on mobile devices all affect the selection of transport protocols. In this paper, we present WiseTrans to adaptively switch transport protocols for mobile web service online and improve the completion time of web requests. WiseTrans introduces machine learning techniques to deal with temporal heterogeneity, makes decisions with historical information to handle spatial heterogeneity, and switches transport protocols at the request level to reach both high performance and acceptable overhead. We implement WiseTrans on two platforms (Android and iOS) in a popular mobile web service application of Baidu. Comprehensive experiments demonstrate that WiseTrans can reduce request completion time by up to 26.5% on average compared to the usage of a single protocol.
引用
收藏
页码:284 / 294
页数:11
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