DEW: Distributed Experiment Workflows

Current testbed experiments are often ad-hoc, manual, complex and hard to repeat and reuse. We argue that this is due mostly to our current inability to capture, standardize and encode experiment behavior. We propose DEW - distributed experiment workflows. Unlike current experiment representations, which focus mostly on topology, DEW encodes experiment behavior, at both high and low level, and topological constraints, which help with realization on testbeds. We show how DEW enables easier experiment design, management, sharing and reuse and how it facilitates automated generation of topologies and runnable scripts.