Integrating Application Agnostic Learning with FABRIC for Enabling Realistic High-Fidelity Traffic Generation and Modeling ( public ) ( tmodelgen )
Provide realistic traffic models to experimenters (preserving the privacy and security of source content) and integration components with FABRIC in Jupyter environment with capability of topology mapping to the traffic generation requirements using a custom user interface.
Quick Start
- Download the attached archive
- Upload it to your FABRIC Jupyter environment
- Extract the directories
- Install the application in the
fabintegrationdirectory - Continue setup using the guide on this page
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Oct. 21, 2024, 11:01 p.m.
Oct. 21, 2024, 11:01 p.m.
Versions
| 2024-10-18 | Oct. 18, 2024, 10:01 p.m. | urn:fabric:contents:renci:d848f7ac-1c60-462b-ab07-5a8f34d1d639 | 25 | download |
Authors
- Deniz Gurkan , Kent State University - Main Campus (dgurkan@kent.edu)