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dc.contributor.authorZhang, Yinen_US
dc.contributor.authorQiu, Lilien_US
dc.date.accessioned2007-04-09T19:48:28Z
dc.date.available2007-04-09T19:48:28Z
dc.date.issued2000-07-13en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR2000-1802en_US
dc.identifier.urihttps://hdl.handle.net/1813/5793
dc.description.abstractRandom 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.en_US
dc.format.extent649232 bytes
dc.format.extent1663139 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleUnderstanding the End-to-End Performance Impact of RED in aHeterogeneous Environmenten_US
dc.typetechnical reporten_US


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