Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning (ML)-Centric Resource Management in Cloud Computing: A
  Review and Future Directions   Cloud computing has rapidly emerged as model for delivering Internet-based
utility computing services. In cloud computing, Infrastructure as a Service
(IaaS) is one of the most important and rapidly growing fields. Cloud providers
provide users/machines resources such as virtual machines, raw (block) storage,
firewalls, load balancers, and network devices in this service model. One of
the most important aspects of cloud computing for IaaS is resource management.
Scalability, quality of service, optimum utility, reduced overheads, increased
throughput, reduced latency, specialised environment, cost effectiveness, and a
streamlined interface are some of the advantages of resource management for
IaaS in cloud computing. Traditionally, resource management has been done
through static policies, which impose certain limitations in various dynamic
scenarios, prompting cloud service providers to adopt data-driven,
machine-learning-based approaches. Machine learning is being used to handle a
variety of resource management tasks, including workload estimation, task
scheduling, VM consolidation, resource optimization, and energy optimization,
among others. This paper provides a detailed review of challenges in ML-based
resource management in current research, as well as current approaches to
resolve these challenges, as well as their advantages and limitations. Finally,
we propose potential future research directions based on identified challenges
and limitations in current research.

6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an