Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Heavy-Hitter Detection Entirely in the Data Plane   Identifying the "heavy hitter" flows or flows with large traffic volumes in
the data plane is important for several applications e.g., flow-size aware
routing, DoS detection, and traffic engineering. However, measurement in the
data plane is constrained by the need for line-rate processing (at 10-100Gb/s)
and limited memory in switching hardware. We propose HashPipe, a heavy hitter
detection algorithm using emerging programmable data planes. HashPipe
implements a pipeline of hash tables which retain counters for heavy flows
while evicting lighter flows over time. We prototype HashPipe in P4 and
evaluate it with packet traces from an ISP backbone link and a data center. On
the ISP trace (which contains over 400,000 flows), we find that HashPipe
identifies 95% of the 300 heaviest flows with less than 80KB of memory.

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The categories of this paper are: atom-ph
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
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The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
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The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
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The categories of this paper are: ao-sci
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The categories of this paper are: funct-an