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Evaluation of Random Early Detection and Adaptive Random Early Detection in Benchmark Scenarios

Rohit Tahiliani, Sagar Sachdeva, Sachin Hadke, Shane Sheehan, Eamonn Nuallain
2018 Journal of Information Sciences and Computing Technologies(JISCT)   unpublished

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In this paper, we evaluate Random Early Detection (RED) and Adaptive RED (ARED) in Benchmark Scenarios as detailed in RFC 7928. RED is one of the early proposed AQM mechanisms, which attains high throughput and keeps average delay low. Moreover, ARED is an extension to RED which eliminates the parameter sensitivity to improve the performance of RED. The results indicate that RED outperforms ARED in scenarios with abrupt changes in traffic load. ARED is known to reduce the packet drops and
more » ... ore, in rest of the scenarios it can be observed that ARED outperforms RED.
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Rohit Tahiliani, Sagar Sachdeva, Sachin Hadke, Shane Sheehan, Eamonn Nuallain. "Evaluation of Random Early Detection and Adaptive Random Early Detection in Benchmark Scenarios." Journal of Information Sciences and Computing Technologies(JISCT) (2018)