Abstract
This paper introduces a novel congestion detection scheme for high-bandwidth
TCP flows over optical burst switching (OBS) networks, called statistical
additive increase multiplicative decrease (SAIMD). SAIMD maintains and analyzes
a number of previous round-trip time (RTTs) at the TCP senders in order to
identify the confidence with which a packet loss event is due to network congestion.
The confidence is derived by positioning short-term RTT in the spectrum of
long-term historical RTTs. The derived confidence corresponding to the packet
loss is then taken in the developed policy for TCP congestion window adjustment.
We will show through extensive simulation that the proposed scheme can effectively
solve the false congestion detection problem and significantly outperform
the conventional TCP counterparts without losing fairness. The advantages
gained in our scheme are at the expense of introducing more overhead in the
SAIMD TCP senders. Based on the proposed congestion control algorithm, a throughput
model is formulated, and is further verified by simulation results.
© 2009 IEEE
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