TY - GEN
T1 - TCP congestion avoidance algorithm identification
AU - Yang, Peng
AU - Luo, Wen
AU - Xu, Lisong
AU - Deogun, Jitender
AU - Lu, Ying
PY - 2011
Y1 - 2011
N2 - The Internet has recently been evolving from homogeneous congestion control to heterogeneous congestion control. Several years ago, Internet traffic was mainly controlled by the traditional AIMD algorithm, whereas Internet traffic is now controlled by many different TCP algorithms, such as AIMD, BIC, CUBIC, and CTCP. However, there is very little work on the performance and stability study of the Internet with heterogeneous congestion control. One fundamental reason is the lack of the deployment information of different TCP algorithms. In this paper, we first propose a tool called TCP Congestion Avoidance Algorithm Identification (CAAI) for actively identifying the TCP algorithm of a remote web server. CAAI can identify all default TCP algorithms (i.e., AIMD, BIC, CUBIC, and CTCP) and most non-default TCP algorithms of major operating system families. We then present, for the first time, the CAAI measurement result of the 5000 most popular web servers. Among the web servers with valid traces, we found that only 16.85∼25.58% of web servers still use the traditional AIMD, 44.51% of web servers use BIC or CUBIC, and 10.27∼19% of web servers use CTCP. In addition, we found that, for the first time, some web servers use non-default TCP algorithms, some web servers use some unknown TCP algorithms which are not available in any major operating system family, and some web servers use abnormal slow start algorithms. Our CAAI measurement results show a strong sign that the majority of TCP flows are not controlled by AIMD anymore, and a strong sign that the Internet congestion control has already changed from homogeneous to highly heterogeneous.
AB - The Internet has recently been evolving from homogeneous congestion control to heterogeneous congestion control. Several years ago, Internet traffic was mainly controlled by the traditional AIMD algorithm, whereas Internet traffic is now controlled by many different TCP algorithms, such as AIMD, BIC, CUBIC, and CTCP. However, there is very little work on the performance and stability study of the Internet with heterogeneous congestion control. One fundamental reason is the lack of the deployment information of different TCP algorithms. In this paper, we first propose a tool called TCP Congestion Avoidance Algorithm Identification (CAAI) for actively identifying the TCP algorithm of a remote web server. CAAI can identify all default TCP algorithms (i.e., AIMD, BIC, CUBIC, and CTCP) and most non-default TCP algorithms of major operating system families. We then present, for the first time, the CAAI measurement result of the 5000 most popular web servers. Among the web servers with valid traces, we found that only 16.85∼25.58% of web servers still use the traditional AIMD, 44.51% of web servers use BIC or CUBIC, and 10.27∼19% of web servers use CTCP. In addition, we found that, for the first time, some web servers use non-default TCP algorithms, some web servers use some unknown TCP algorithms which are not available in any major operating system family, and some web servers use abnormal slow start algorithms. Our CAAI measurement results show a strong sign that the majority of TCP flows are not controlled by AIMD anymore, and a strong sign that the Internet congestion control has already changed from homogeneous to highly heterogeneous.
KW - Heterogeneous congestion control
KW - Internet measurement
KW - TCP congestion control
UR - http://www.scopus.com/inward/record.url?scp=80051905749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051905749&partnerID=8YFLogxK
U2 - 10.1109/ICDCS.2011.27
DO - 10.1109/ICDCS.2011.27
M3 - Conference contribution
AN - SCOPUS:80051905749
SN - 9780769543642
T3 - Proceedings - International Conference on Distributed Computing Systems
SP - 310
EP - 321
BT - Proceedings - 31st International Conference on Distributed Computing Systems, ICDCS 2011
T2 - 31st International Conference on Distributed Computing Systems, ICDCS 2011
Y2 - 20 June 2011 through 24 July 2011
ER -