Contemporary nature of network evolution demands for simulation models which are flexible, scalable, and easily implementable.\nIn this paper, we propose a fluid based model for performance analysis of reliable high speed networks. In particular, this paper aims\nto study the dynamic relationship between congestion control algorithms and queue management schemes, in order to develop a\nbetter understanding of the causal linkages between the two.We propose a loss synchronizationmodule which is user configurable.\nWe validate our model through simulations under controlled settings. Also, we present a performance analysis to provide insights\ninto two important issues concerning 10Gbps high speed networks: (i) impact of bottleneck buffer size on the performance of\n10 Gbps high speed network and (ii) impact of level of loss synchronization on link utilization-fairness tradeoffs. The practical\nimpact of the proposed work is to provide design guidelines along with a powerful simulation tool to protocol designers and\nnetwork developers.
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