Abstract
Random Early Detection (RED) is a widely deployed active queue management mechanism to improve the performance of the network in terms of throughput and packet drop rate. The effectiveness of RED, however, highly depends on appropriate setting of its parameters. In this paper, we propose a Fast Adapting Random Early Detection (FARED) algorithm which efficiently varies the maximum drop probability to improve the overall performance of the network. Based on extensive simulations, we show that FARED algorithm reduces the packet drop rate and achieves better throughput than Adaptive RED (ARED) and Refined Adaptive RED (Re-ARED). Moreover, FARED algorithm does not introduce new parameters to improve the performance and hence can be deployed without any additional complexity.
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Tahiliani, M.P., Shet, K.C., Basavaraju, T.G. (2012). FARED: Fast Adapting RED Gateways for TCP/IP Networks. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_51
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DOI: https://doi.org/10.1007/978-3-642-29280-4_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29279-8
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