Speaker
Description
Reproducibilification, i.e., making experiments reproducible, is the
ultimate goal for successful scientific experiments. In this work, we
identify key challenges for the design of reproducible network experiments.
We present our approach for reproducible network research
which enforces an experiment workflow leading to inherently replicable
network experiments. Our approach realized in our testbed
infrastructure combines high-precision measurement tools, full automation,
and support for publishing experiment scripts and results.
We further present ongoing work, including extending high precision
traffic generation and measurement capabilities for 100G Ethernet.
Future plans involve the creation of a multi-site wireless testbed,
which connects our testbed infrastructure with different remote
testbeds, thereby creating a federated testbed. This federated testbed
can be used for scenarios combining 5G Radio Access Network infrastructure
with high-performance backbone infrastructure to investigate
low-latency communication and edge computing use cases.
