Loading
Research Projects
MAPS: Adpative Path Selection for Multipath Transport Protocols
|
Abstract
As the access links of the Internet get faster, there is an
incentive for the end hosts to demand higher throughputs.
To meet their demands with minimum change at
the Internet core, it is necessary to explore the existing
core capacity efficiently. Multipath transport protocols
try to address this problem by allocating traffic efficiently
and fairly over some preselected paths, thus utilizing the
path diversity of the network. However, because the Internet
is heterogeneous, i.e, different parts of the Internet
have different capacities, it is critical to select those paths
with great care. Without efficient path selection, some of
the flows might have to pass the more congested part of
the network. As a result, their throughput might be significantly
lower than using another set of paths. Adaptive
path selection for multipath transport layer (MAPS)
solves the problem by actively probing the residue capacity
of unused paths for each flow. Moreover, MAPS
only initiates the probes sparingly, depending on the realtime
quality of current subflows. Our simulation shows
that with the efficient path selection scheme by MAPS,
the underlying transport layer is able to improve the average
throughput of bulk transfer by as much as 40%;
moreover, it is also able to improve the fairness index
significantly when the traffic demand is high.
Advisor(s): Xiaowei Yang
Jeff Chase, Bruce Maggs