DocumentCode
2363419
Title
AFStart: An adaptive fast TCP slow start for wide area networks
Author
Zhang, Yan ; Ansari, Nirwan ; Wu, Mingquan ; Yu, Heather
Author_Institution
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear
2012
fDate
10-15 June 2012
Firstpage
1260
Lastpage
1264
Abstract
Transmission Control Protocol (TCP) slow start degrades TCP performance under conditions of long-distance and high end-to-end latency, i.e., inherent characteristics of wide area networks (WANs). In this paper, we propose a new TCP slow start algorithm for WANs, called Adaptive Fast Start (AFStart), which incorporates an inline available bandwidth measurement over TCP technique into TCP slow start to set the slow start threshold adaptively and adjusts the congestion window intelligently. The performance of AFStart is evaluated through simulations using the dumb-bell topology and parking-lot topology by applying AFStart to Fast TCP. The simulation results show that AFStart can ramp up the congestion window from its initial value to the slow start threshold more quickly and smoothly than standard slow start, and AFStart achieves higher network link utilization and TCP throughput during the slow start than Fast TCP.
Keywords
telecommunication congestion control; telecommunication links; telecommunication network topology; transport protocols; wide area networks; AFStart; TCP performance; TCP throughput; WAN; adaptive fast TCP slow start; adaptive fast start; dumb-bell topology; high end-to-end latency; inline available bandwidth measurement; intelligent congestion window; long-distance latency; network link utilization; parking-lot topology; transmission control protocol slow start; wide area networks; Bandwidth; Delay; Network topology; Standards; Throughput; Topology; Transmission Control Protocol; Wide area network (WAN); inline measurement TCP (ImTCP); slow start;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2012 IEEE International Conference on
Conference_Location
Ottawa, ON
ISSN
1550-3607
Print_ISBN
978-1-4577-2052-9
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/ICC.2012.6363716
Filename
6363716
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