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Tuning RED for Web traffic
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Source IEEE/ACM Transactions on Networking (TON) archive
Volume 9 ,  Issue 3  (June 2001) table of contents
Pages: 249 - 264  
Year of Publication: 2001
ISSN:1063-6692
Authors
Mikkel Christiansen  Department of Computer Science, Aalborg University, DK-9220 Aalborg, Denmark and Department of Computer Science, University of North Carolina, Chapel Hill, NC
Kevin Jeffay  Department of Computer Science, University of North Carolina, Chapel Hill, NC
David Ott  Department of Computer Science, University of North Carolina, Chapel Hill, NC
F. Donelson Smith  Department of Computer Science, University of North Carolina, Chapel Hill, NC
Publisher
IEEE Press  Piscataway, NJ, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 58,   Citation Count: 13
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DOI Bookmark: 10.1109/90.929849

ABSTRACT

We study the effects of RED on the performance of Web browsing with a novel aspect of our work being the use of a user-centric measure of performance: response time for HTTP request-response pairs. We empirically evaluate RED across a range of parameter settings and offered loads. Our results show that: 1) contrary to expectations, compared to a FIFO queue, RED has a minimal effect on HTTP response times for offered loads up to 90% of link capacity; 2) response times at loads in this range are not substantially affected by RED parameters; 3) between 90% and 100% load, RED can be carefully tuned to yield performance somewhat superior to FIFO, however, response times are quite sensitive to the actual RED parameter values selected; and 4) in such heavily congested networks, RED parameters that provide the best link utilization produce power response times. We conclude that for links carrying only Web traffic, RED queue management appears to provide no clear advantage over tail-drop FIFO for end-user response times.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  13
 
 
 
 
 
 
 
 
 
 
 

Collaborative Colleagues:
Mikkel Christiansen: colleagues
Kevin Jeffay: colleagues
David Ott: colleagues
F. Donelson Smith: colleagues

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