An application-level content generative model for network applications

Authors:
Victor C. Valgenti;Min Sik Kim
Affiliations:
Washington State University, Pullman, Washington;Washington State University, Pullman, Washington
Venue:
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
Year:
2012

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Abstract

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.