A study on TCP performance of crowdsourced live streaming  

作　　者：周建二 Wu Qinghua Li Zhenyu Xu Chuan Xie Gaogang 

机构地区：[1]Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,P.R.China [2]University of Chinese Academy of Sciences,Beijing 100049,P.R.China [3]College of Communication,Chongqing University of Post and Telecommunication,Chongqing 400065,P.R.China

出　　处：《High Technology Letters》2017年第1期109-116,共8页高技术通讯（英文版）

基　　金：Supported by the National Basic Research Program of China(2012CB315801);the National Natural Science Foundation of China(No.6157060397)

摘　　要：The prevalence of smart phone and improvement of wireless net promote the usage of crowdsourced live streaming,where individual users act as live streaming sources to broadcast themselves online. Characterizing the performance and identifying its bottleneck in such systems can shed light on the system design and performance optimization. TCP performance of a commercial crowdsourced live streaming system is examined by analyzing packet-level traces collected at streaming servers. TCP stalls that heavily hurt the Qo E of user have been identified. In particular,the TCP stalls account for as much as 31. 6% of the flow completion time for upload flows and result in abandonment of upload on the corresponding channels. Stalls caused by timeout retransmissions are further dissected and timeout retransmission characteristics are revealed to be dependent on the video encoding methods. These findings provide new insights in crowdsourced live streaming systems and can guide designers to improve the TCP efficiency.The prevalence of smart phone and improvement of wireless net promote the usage of crowdsourced live streaming,where individual users act as live streaming sources to broadcast themselves online. Characterizing the performance and identifying its bottleneck in such systems can shed light on the system design and performance optimization. TCP performance of a commercial crowdsourced live streaming system is examined by analyzing packet-level traces collected at streaming servers. TCP stalls that heavily hurt the Qo E of user have been identified. In particular,the TCP stalls account for as much as 31. 6% of the flow completion time for upload flows and result in abandonment of upload on the corresponding channels. Stalls caused by timeout retransmissions are further dissected and timeout retransmission characteristics are revealed to be dependent on the video encoding methods. These findings provide new insights in crowdsourced live streaming systems and can guide designers to improve the TCP efficiency.

关 键 词：crowdsourced live streaming TCP performance system design and measurement 

分 类 号：TN919.8[电子电信—通信与信息系统]