@INPROCEEDINGS{,
AUTHOR="Giuseppe Aceto and Fabio Palumbo and Valerio Persico and Antonio Pescap{\'e}",
TITLE="An experimental evaluation of the impact of heterogeneous scenarios and
virtualization on the available bandwidth estimation tools",
BOOKTITLE="2017 IEEE International Workshop on Measurement and Networking (M\&N) (IEEE
M\&N 2017)",
ADDRESS="Naples, Italy",
DAYS=26,
MONTH=sep,
YEAR=2017,
KEYWORDS="Network Measurements; Available Bandwidth",
ABSTRACT="Mobile Broadband (MBB) access networks are becoming more and more used
worldwide, and the devices adopted to access them are increasing in number
and complexity (smartphones, mobile hotspots, vehicular infotainment
systems).
The highly dynamic nature of such scenarios calls for continuous monitoring
and measurement of the network.
To this aim, the Available Bandwidth is a performance metric of the utmost
importance, albeit hard to estimate in uncontrolled scenarios.

Shared experimental testbeds such as MONROE are becoming available to offer
in-the-field MBB experimenting facilities.
In this context, the SOMETIME project is focused on providing MONROE and
similar testbeds with the tools to measure Available Bandwidth in MBB
scenarios,
also taking advantage of the benefit of SDN to perform active and passive
measurements.

In line with experimental activities planned by the project roadmap,
in this paper we discuss the suitability of a number of publicly released
ABw estimation tools when run in heterogeneous scenarios.
Experimental results confirm that 
(i) the experimental scenario in which the tools run heavily impacts their
performance in terms of accuracy;
(ii) the entity of cross-traffic may have different effects on some of the
tools, unacceptably undermining the estimation accuracy, depending on
limitations of both the specific tools and the setup."
}