DocumentCode
2397211
Title
TCP Congestion Avoidance Algorithm Identification
Author
Yang, Peng ; Luo, Wen ; Xu, Lisong ; Deogun, Jitender ; Lu, Ying
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
fYear
2011
fDate
20-24 June 2011
Firstpage
310
Lastpage
321
Abstract
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$sim$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.
Keywords
Internet; telecommunication congestion control; transport protocols; AIMD algorithm; BIC algorithm; CTCP algorithm; CUBIC algorithm; Internet traffic; TCP congestion avoidance algorithm identification; Web servers; heterogeneous congestion control; homogeneous congestion control; Algorithm design and analysis; Feature extraction; Kernel; Linux; Web servers; Internet measurement; TCP congestion control; heterogeneous congestion control;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing Systems (ICDCS), 2011 31st International Conference on
Conference_Location
Minneapolis, MN
ISSN
1063-6927
Print_ISBN
978-1-61284-384-1
Electronic_ISBN
1063-6927
Type
conf
DOI
10.1109/ICDCS.2011.27
Filename
5961712
Link To Document