Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Benchmarking Various ML Solutions in Complex Intent-Based Network
  Management Systems   Intent-based networking (IBN) solutions to managing complex ICT systems have
become one of the key enablers of intelligent and autonomous network
management. As the number of machine learning (ML) techniques deployed in IBN
increases, it becomes increasingly important to understand their expected
performance. Whereas IBN concepts are generally specific to the use case
envisioned, the underlying platforms are generally heterogenous, comprised of
complex processing units, including CPU/GPU, CPU/FPGA and CPU/TPU combinations,
which needs to be considered when running the ML techniques chosen. We focus on
a case study of IBNs in the so-called ICT supply chain systems, where multiple
ICT artifacts are integrated in one system based on heterogeneous hardware
platforms. Here, we are interested in the problem of benchmarking the
computational performance of ML technique defined by the intents. Our
benchmarking method is based on collaborative filtering techniques, relying on
ML-based methods like Singular Value Decomposition and Stochastic Gradient
Descent, assuming initial lack of explicit knowledge about the expected number
of operations, framework, or the device processing characteristics. We show
that it is possible to engineer a practical IBN system with various ML
techniques with an accurate estimated performance based on data from a few
benchmarks only.

7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th