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    On Impact of Non-Conformant Flows on a Network Of DropTail Gateways

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    In this paper we evaluate rate distributions between competing flows in a network of DropTail queues. Specifically we look at the case when some of the flows are non- conformant or mis-behaving and it's effect on conformant flows. Our results show in a network of DropTail queues mis-behaving flows can have significantly higher bandwidth allocations at the cost of conformant flows. Further this unequal sharing worsens in a multi-bottleneck scenario where conformant flows may consistently timeout. However the distribution of rates improves if RED is used at the bottleneck thus suggesting deployment of RED. In this paper we als
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