Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Monotonic Filtering for Distributed Collection   Distributed data collection is a fundamental task in open systems. In such
networks, data is aggregated across a network to produce a single aggregated
result at a source device. Though self-stabilizing, algorithms performing data
collection can produce large overestimates in the transient phase. For example,
in [1] we demonstrated that in a line graph, a switch of sources after initial
stabilization may produce overestimates that are quadratic in the network
diameter. We also proposed monotonic filtering as a strategy for removing such
large overestimates. Monotonic filtering prevents the transfer of data from
device A to device B unless the distance estimate at A is more than that at B
at the previous iteration. For a line graph, [1] shows that monotonic filtering
prevents quadratic overestimates. This paper analyzes monotonic filtering for
an arbitrary graph topology, showing that for an N device network, the largest
overestimate after switching sources is at most 2N.

5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg