Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Performance and Energy-Aware Bi-objective Tasks Scheduling for Cloud
  Data Centers   Cloud computing enables remote execution of users tasks. The pervasive
adoption of cloud computing in smart cities services and applications requires
timely execution of tasks adhering to Quality of Services (QoS).
  However, the increasing use of computing servers exacerbates the issues of
high energy consumption, operating costs, and environmental pollution.
Maximizing the performance and minimizing the energy in a cloud data center is
challenging. In this paper, we propose a performance and energy optimization
bi-objective algorithm to tradeoff the contradicting performance and energy
objectives. An evolutionary algorithm-based multi-objective optimization is for
the first time proposed using system performance counters. The performance of
the proposed model is evaluated using a realistic cloud dataset in a cloud
computing environment. Our experimental results achieve higher performance and
lower energy consumption compared to a state of the art algorithm.

24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph