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Juan Shao

dblp:150/1144 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Transport protocols and congestion control · 70% Network measurement and analytics · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Transport protocols and congestion control
congestion control algorithm identification
0.212014
TCP Congestion Avoidance Algorithm Identification · IEEE/ACM Trans. Netw. 2014
Transport protocols and congestion control
TCP congestion control
0.212014
TCP Congestion Avoidance Algorithm Identification · IEEE/ACM Trans. Netw. 2014
Network measurement and analytics
traffic measurement
0.212014
TCP Congestion Avoidance Algorithm Identification · IEEE/ACM Trans. Netw. 2014
Transport protocols and congestion control
TCP variants
0.112014
TCP Congestion Avoidance Algorithm Identification · IEEE/ACM Trans. Netw. 2014

Methods — techniques the papers use, named apart from their topics

measurement · 0.2active probing · 0.2
YearPublicationVenuePosition
2014 TCP Congestion Avoidance Algorithm Identification
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 RENO, whereas it is now controlled by multiple different TCP algorithms, such as RENO, CUBIC, and Compound TCP (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 (e.g., RENO, CUBIC, and CTCP) and most non-default TCP algorithms of major operating system families. We then present the CAAI measurement result of about 30 000 Web servers. We found that only 3.31 % ~ 14.47 % of the Web servers still use RENO, 46.92% of the Web servers use BIC or CUBIC, and 14.5 % ~ 25.66 % of the Web servers use CTCP. Our measurement results show a strong sign that the majority of TCP flows are not controlled by RENO anymore, and a strong sign that the Internet congestion control has changed from homogeneous to heterogeneous.
Juan Shao, Lisong Xu, Jitender S. Deogun, Ying Lu 0002
IEEE/ACM Trans. Netw.2