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Strategies for optimal allocation of cloud computing resources for innovation and entrepreneurship education in industry-teaching integration environment

Xiaoxia Jin

Xiaoxia Jin

Employment Guidance Center of Xinxiang Vocational and Technical CollegeXinxiang, China
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Jin, Xiaoxia
  
26 wrz 2025
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Data publikacji: 26 wrz 2025
Otrzymano: 05 sty 2025
Przyjęty: 19 kwi 2025
DOI: https://doi.org/10.2478/amns-2025-1078
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© 2025 Xiaoxia Jin, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

The structure diagram of the platform framework
The structure diagram of the platform framework

Figure 2.

Comparison of execution times when the number of tasks is different
Comparison of execution times when the number of tasks is different

Figure 3.

Comparison of execution costs when the number of tasks is different
Comparison of execution costs when the number of tasks is different

Figure 4.

Comparison of load values when the number of tasks is different
Comparison of load values when the number of tasks is different

Figure 5.

Resource load situation
Resource load situation

Figure 6.

Standard deviation of distribution results
Standard deviation of distribution results

Figure 7.

Comparison of task execution time span
Comparison of task execution time span

Time-consuming of resource allocation scheduling

Algorithm Time-consuming of resource allocation scheduling(ms)
GAAA 83.6
ACO 92.8
HGAACO 73.6

Hardware environment

Hardware environment
Software environment CPU Memory
Windows 7, jdk1.8.0,CloudSim3.0.2 Intel(R) Core(TM) i5-4590@3.30GHz 4G
Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne
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