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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
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Li Yu , Yantai Shu , Maode Ma , Ming Tang, An analysis and implementation study on a robust congestion controller for the internet, Proceedings of the 2008 International Conference on Advanced Infocomm Technology, p.1-6, July 29-31, 2008, Shenzhen, China
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INDEX TERMS
Primary Classification:
C.
Computer Systems Organization
C.4
PERFORMANCE OF SYSTEMS
Subjects:
Performance attributes
Additional Classification:
C.
Computer Systems Organization
C.2
COMPUTER-COMMUNICATION NETWORKS
C.2.2
Network Protocols
Subjects:
Applications (SMTP, FTP, etc.)
C.2.3
Network Operations
C.2.5
Local and Wide-Area Networks
Subjects:
Ethernet (e.g., CSMA/CD)
C.2.6
Internetworking
Subjects:
Routers
C.4
PERFORMANCE OF SYSTEMS
Subjects:
Design studies
H.
Information Systems
H.3
INFORMATION STORAGE AND RETRIEVAL
General Terms:
Design,
Experimentation,
Management,
Measurement,
Performance,
Theory
Keywords:
HTTP,
active queue management,
congestion control,
experimental methodology,
random early detection
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