The need for realism when simulating network congestion

نویسندگان

  • Kevin Mills
  • Christopher Dabrowski
چکیده

Many researchers use abstract models to simulate network congestion, finding patterns that might foreshadow onset of congestion collapse. We investigate whether such abstract models yield congestion behaviors sufficiently similar to more realistic models. Beginning with an abstract model, we add elements of realism in various combinations, culminating with a high-fidelity simulation. By comparing congestion patterns among combinations, we illustrate congestion spread in abstract models differs from that in realistic models. We identify critical elements of realism needed when simulating congestion. We demonstrate a means to compare congestion patterns among simulations covering diverse configurations. We hope our contributions lead to better understanding of the need for realism when simulating network congestion. Author

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تاریخ انتشار 2016