Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Design and Analysis of Deadline and Budget Constrained Autoscaling
  (DBCA) Algorithm for 5G Mobile Networks   In cloud computing paradigm, virtual resource autoscaling approaches have
been intensively studied recent years. Those approaches dynamically scale
in/out virtual resources to adjust system performance for saving operation
cost. However, designing the autoscaling algorithm for desired performance with
limited budget, while considering the existing capacity of legacy network
equipment, is not a trivial task. In this paper, we propose a Deadline and
Budget Constrained Autoscaling (DBCA) algorithm for addressing the
budget-performance tradeoff. We develop an analytical model to quantify the
tradeoff and cross-validate the model by extensive simulations. The results
show that the DBCA can significantly improve system performance given the
budget upper-bound. In addition, the model provides a quick way to evaluate the
budget-performance tradeoff and system design without wide deployment, saving
on cost and time.

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The categories of this paper are: alg-geom
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The categories of this paper are: plasm-ph
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The categories of this paper are: eess
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The categories of this paper are: q-alg
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The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
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The categories of this paper are: patt-sol
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The categories of this paper are: gr-qc
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The categories of this paper are: stat
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
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The categories of this paper are: adap-org
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The categories of this paper are: econ