@article{Rosberg2010network,
author = {Zvi Rosberg and John Matthews and Moshe Zukerman},
title = {A network rate management protocol with {TCP}
congestion control and fairness for all},
journal = {Computer Networks},
volume = {54},
number = {9},
pages = {1358-1374},
month = {Jun.},
year = {2010},
abstract = {Our study is motivated by the need to enable
quality of service (QoS), congestion control and fair rate allocation for all
end applications. We propose a new approach to address these needs which is
different from the current practice whereby end applications pursue their own
rate control using TCP. Our approach comprises a network rate management
protocol (RMP) that controls the rate of all flows (at an aggregate level based
on routes) subject to QoS requirements. The RMP control also facilitates
a new TCP sliding-window congestion control based on the fair target rates
computed by the RMP. Each non-TCP aggregate flow is policed by its respective
edge router and each TCP flow adapts its window size as to achieve the RMP
suggested fair target rate. The stability analysis of the new TCP congestion
control is performed in a linearly scalable framework, which is less
restrictive than a fluid model. We show that our proposed control is linearly
scalable and establish its global asymptotic stability under arbitrary and
variable information time lags, aka totally asynchronous conditions. The
stability and the vitality of our control is verified by two means. One is a
simulation of a network comprising 74 core links and up to 768 flows, each
using its own access link. The simulation is also used to compare our control
with the congestion control algorithms used in Fast, Vegas and Reno TCPs. The
second verification means is an actual implementation of the control in the
Linux kernel and its experimentation in a WAN testbed network comprising six
routers and long haul links running UDP flows as well as CUBIC, N-RENO and C-TCP
flows. Our experiments demonstrate that our approach can guarantee fair rates
for all flows and QoS to premium flows.}
}