Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Taking A Free Ride for Routing Topology Inference in Peer-to-Peer
  Networks   A Peer-to-Peer (P2P) network can boost its performance if peers are provided
with underlying network-layer routing topology. The task of inferring the
network-layer routing topology and link performance from an end host to a set
of other hosts is termed as network tomography, and it normally requires host
computers to send probing messages. We design a passive network tomography
method that does not requires any probing messages and takes a free ride over
data flows in P2P networks. It infers routing topology based on end-to-end
delay correlation estimation (DCE) without requiring any synchronization or
cooperation from the intermediate routers. We implement and test our method in
the real world Internet environment and achieved the accuracy of 92% in
topology recovery. We also perform extensive simulation in OMNet++ to evaluate
its performance over large scale networks, showing that its topology recovery
accuracy is about 95% for large networks.

0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin