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Adaptive prediction based approach for congestion estimation (APACE) in active queue management

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Title Adaptive prediction based approach for congestion estimation (APACE) in active queue management
 
Creator JAIN, A
KARANDIKAR, A
VERMA, R
 
Subject tcp
congestion control
active queue management (aqm)
random early detection (red)
 
Description Active Queue Management (AQM) policies provide an early indication of incipient congestion to the sources. In this paper, we propose a new AQM policy called APACE. APACE stands for Adaptive Prediction based Approach for Congestion Estimation in AQM that predicts the instantaneous queue length at a future time instant using adaptive filtering techniques. We compare the performance of APACE with other existing AQM schemes in networks having both single and multiple bottleneck links. We show that APACE is able to control the oscillations in the instantaneous queue. We also demonstrate, through exhaustive simulations, that APACE performs well in terms of link utilization even in networks with multiple bottleneck links. Moreover, APACE is not very sensitive to parameter settings and adapts quickly to changes in traffic. (C) 2004
 
Publisher ELSEVIER SCIENCE BV
 
Date 2011-07-24T08:04:38Z
2011-12-26T12:57:04Z
2011-12-27T05:46:49Z
2011-07-24T08:04:38Z
2011-12-26T12:57:04Z
2011-12-27T05:46:49Z
2004
 
Type Article
 
Identifier COMPUTER COMMUNICATIONS, 27(16), 1647-1660
0140-3664
http://dx.doi.org/10.1016/j.comcom.2004.05.008
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6363
http://hdl.handle.net/10054/6363
 
Language en