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Student: Hong Li, PhD student
Supervisor: Lorne Mason, Prof., Michael Rabbat, Prof.
Abstract: This paper proposes a novel mechanism to discover
delay-optimal paths using distributed learning automata for Voice
over IP (VoIP) routing in service overlay networks. In addition,
a novel link failure detection method is proposed for detecting
and recovering from link failures to reduce the number of
dropped voice sessions. The main contributions of this paper are
a decentralized, scalable method for minimizing delay on both a
primary and secondary path between all pairs of overlay nodes,
while at the same time maintaining the link disjointness between
the primary and the secondary optimal paths. Simulations in
a 50-node model of AT&T backbone network show that the
proposed method improves the quality of voice calls from medium
to high, as measured by the R-factor. With the proposed link
failure detection mechanism, the time to recover from a link
failure is considerably reduced.
[Full Description] [Paper (pdf format)]
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