Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  examine a parallel processing method for simulations of large-scale networks with a hybrid traffic representation combining both a time-stepped fluid model and a discrete-event packet-oriented model. This method benefits from the observation that the time it takes to propagate fluid characteristics along the path taken by the traffic flows has a lor bound equal to the minimum link delay as manifested by the governing ordinary differential equations (ODEs). A better lookahead can thus be used to allow parallel simulation of the hybrid model to run without more synchronization overhead than the corresponding discrete-event packet-oriented model.  derive an analytical model comparing the fluid model and the packet-oriented model both for sequential and parallel simulations.  demonstrate the benefit of the parallel hybrid model through a series of simulation experiments of a large-scale network consisting of over 170,000 hosts and 1.6 million traffic flows on a small parallel cluster.
['Jason Liu']
I am writing a research paper on a idea Parallel Simulation of Hybrid Network Traffic Models
[{"from": "human", "value": "I am writing a research paper on a idea Parallel Simulation of Hybrid Network Traffic Models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  examine a parallel processing method for simulations of large-scale networks with a hybrid traffic representation combining both a time-stepped fluid model and a discrete-event packet-oriented model. This method benefits from the observation that the time it takes to propagate fluid characteristics along the path taken by the traffic flows has a lor bound equal to the minimum link delay as manifested by the governing ordinary differential equations (ODEs). A better lookahead can thus be used to allow parallel simulation of the hybrid model to run without more synchronization overhead than the corresponding discrete-event packet-oriented model.  derive an analytical model comparing the fluid model and the packet-oriented model both for sequential and parallel simulations.  demonstrate the benefit of the parallel hybrid model through a series of simulation experiments of a large-scale network consisting of over 170,000 hosts and 1.6 million traffic flows on a small parallel cluster."}]