An Application-level Content Generative Model for Network Applications

Generating application-level content within network simulations and/or testbed environments tends toward an ad-hoc process reliant primarily on evaluator expertise. Such ad-hoc approaches are laborious and often fail to capture important aspects of how content is distributed within traffic. Further, while many tools allow for the generation of a wide-range of content types, there exists no coherent model for populating these tools with the necessary data. In this work, we create a content generative model for identifying, harvesting, and assigning application-level content to simulated traffic. This model ties consumers of content to the producers of the content as well as to a particular content category. This approach then allows for said content to be tied to a workload generator or simulator of choice to evaluate a given network application.