Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network
  Resilience   With a wide deployment of Multi-Access Edge Computing (MEC) in the Fifth
Generation (5G) mobile networks, virtual network functions (VNF) can be
flexibly migrated between difference locations, and therewith significantly
enhances the network resilience to counter the degradation in quality of
service (QoS) due to network function outages. A balance has to be taken
carefully, between the loss reduced by VNF migration and the operations cost
generated thereby. To achieve this in practical scenarios with realistic user
behavior, it calls for models of both cost and user mobility. This paper
proposes a novel cost model and a AI-empowered approach for a rational
migration of stateful VNFs, which minimizes the sum of operations cost and
potential loss caused by outages, and is capable to deal with the complex
realistic user mobility patterns.

16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph