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Proceedings Paper

Comparison of load-based and queue-based active queue management algorithms
Author(s): Minseok Kwon; Sonia Fahmy
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Paper Abstract

A number of active queue management algorithms have been studied since Random Early Detection (RED) was first introduced in 1993. While analytical and experimental studies have debated whether dropping/marking should be based on average or instantaneous queue length or, alternatively, based on input and output rates (or queue length slope), the merits and drawbacks of the proposed algorithms, and the effect of load-based versus queue-based control have not been adequately examined. In particular, only RED has been tested in realistic configurations and in terms of user metrics, such as response times and average delays. In this paper, we examine active queue management (AQM) that uses both load and queuing delay to determine its packet drop/mark probabilities. This class of algorithms, which we call load/delay controllers (LDC), has the advantage of controlling the queuing delay as well as accurately anticipating incipient congestion. We compare LDC to a number of well-known active queue management algorithms including RED, BLUE, FRED, SRED, and REM in configurations with multiple bottlenecks, round trip times and bursty Web traffic. We evaluate each algorithm in terms of Web response time, delay, packet loss, and throughput, in addition to examining algorithm complexity and ease of configuration. Our results demonstrate that load information, along with queue length, can aid in making more accurate packet drop/mark decisions that reduce the Web response time.

Paper Details

Date Published: 1 July 2002
PDF: 12 pages
Proc. SPIE 4866, Quality of Service over Next-Generation Internet, (1 July 2002); doi: 10.1117/12.473021
Show Author Affiliations
Minseok Kwon, Purdue Univ. (United States)
Sonia Fahmy, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 4866:
Quality of Service over Next-Generation Internet
Mohammed Atiquzzaman; Mahbub Hassan, Editor(s)

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