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  5. Understanding the End-to-End Performance Impact of RED in aHeterogeneous Environment

Understanding the End-to-End Performance Impact of RED in aHeterogeneous Environment

File(s)
2000-1802.ps (1.59 MB)
2000-1802.pdf (634.02 KB)
Permanent Link(s)
https://hdl.handle.net/1813/5793
Collections
Computer Science Technical Reports
Author
Zhang, Yin
Qiu, Lili
Abstract

Random Early Detection (RED) is the recommended active queue management scheme for rapid deployment throughout the Internet. As a result, there have been considerable research efforts in studying the performance of RED. However, previous studies have often focused on relatively homogeneous environment. The effects of RED in a heterogeneous environment are not thoroughly understood. In this paper, we use extensive simulations to explore the interaction between RED and various types of heterogeneity, as well as the impact of such interaction on the user-perceived end-to-end performance. Our results show that overall RED improves performance at least for the types of heterogeneity we have considered.

Date Issued
2000-07-13
Publisher
Cornell University
Keywords
computer science
•
technical report
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR2000-1802
Type
technical report

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