Multi-scale network traffic generator

摘要

Embodiments of the present invention provide a method, system and computer program product for multi-scale network traffic generation. In one embodiment of the invention, a network traffic generation method can be provided. The method can include defining multiple, different scales in an n-state MMPP model to accommodate a full characteristic response of a modeled traffic scenario. The method further can include establishing a transition window for each of the scales and determining a state through the transition window for selected ones of the scales. Finally, the method can include computing an inter-packet time according to the determined state for each of the selected ones of the scales and generating and transmitting packets for the selected ones of the scales utilizing a correspondingly computed inter-packet time.

主权项

1. A network traffic generation method comprising:
defining multiple, different scales in an n-state Markov modified Poisson process (MMPP) model to accommodate a full characteristic response of a modeled traffic scenario; organizing different transition probabilities into a probability transition matrix correlating different transition probabilities with respectively different states of the MMPP model, the matrix responding to a desired traffic pattern by producing a selected one of a multiplicity of transition windows for use in generating real-time network traffic; submitting a traffic pattern to the matrix in order to receive a corresponding one of the transition windows; determining a state from the corresponding one of multiplicity of transition windows; computing an inter-packet time according to the determined; and, generating and transmitting packets utilizing the computed inter-packet time in a multi-scale, multi-window network traffic generator executing in memory by a processor of a server host and configured to generate packets emulating the self-similar nature of network traffic.