Migration of containers on the basis of load prediction with dynamic inertia weight based PSO algorithm

Bawa, Shabnam; Rana, Prashant Singh; Tekchandani, RajKumar

doi:10.1007/s10586-024-04676-0

Cluster Comput

2024

DOI: 10.1007/s10586-024-04676-0

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Migration of containers on the basis of load prediction with dynamic inertia weight based PSO algorithm

Shabnam Bawa,

Prashant Singh Rana,

RajKumar Tekchandani

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Cited by 2 publications

References 59 publications

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China Classical Poetry Art Song Market Trend Forecast and Big Data Analysis in Music Industry

Chen,

Yang,

Chen

2024

Applied Mathematics and Nonlinear Sciences

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In view of the fact that Chinese classical poetry and art songs are more and more widely welcomed in people’s entertainment lives, the article conducts research on its market development trend. The PSO-Prophet-LSTM combined prediction model is constructed by combining the Prophet prediction model and the LSTM neural network model and optimizing the combined model with the PSO algorithm. The PSO-Prophet-LSTM model’s prediction performance was tested in this paper and it was used to predict the music industry and the market of Chinese classical poetry and art songs. The PSO-Prophet-LSTM model achieved the best prediction results in terms of the comparison of adaptation, LOSS, and RMSE convergence curves with prediction accuracy. In the prediction of the music industry in the next five years, the total output value of the music industry expanded from RMB 465 billion in 2024 to RMB 986 billion in 2028. The capital preservation rate, the profit tax rate of music output value, and the capital profit rate of the music industry all keep growing over the five years. In the market size prediction of Chinese classical poetry and art songs, the market size of this segment expands with the overall market size of the music industry.

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China Classical Poetry Art Song Market Trend Forecast and Big Data Analysis in Music Industry

Chen,

Yang,

Chen

2024

Applied Mathematics and Nonlinear Sciences

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A Strategic Study on Quality Improvement of Physical Education Teaching Empowered by Digital Intelligence Technology

Wei

2024

Applied Mathematics and Nonlinear Sciences

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The development of digital intelligence technology has created a brand new path for the improvement of physical education teaching quality. Aiming at the deficiencies of the current physical education teaching quality, the study introduces digital intelligence technology to design the strategy of physical education teaching quality improvement and establishes the physical education teaching quality evaluation model based on the PSO-BPNN algorithm to quantify the effect of physical education teaching quality improvement empowered by digital intelligence technology. Five courses, including basketball and soccer, taken by a university in 2022-2023 are evaluated as objects to assess the teaching quality of physical education after the empowerment of digital intelligence technology. The results show that the error between the actual output results and the expected output results of the PSO-BPNN model is within the ideal error range. And the evaluation grades of the five courses reached good and above, among which soccer and table tennis achieved excellent grades. It indicates that the PSO-BPNN model can effectively quantify the impact of the application of digital intelligence technology on the improvement of physical education teaching quality. At the same time, it shows that the teaching method of digital intelligence in physical education can significantly improve the quality of physical education teaching.

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Migration of containers on the basis of load prediction with dynamic inertia weight based PSO algorithm

Cited by 2 publications

References 59 publications

China Classical Poetry Art Song Market Trend Forecast and Big Data Analysis in Music Industry

China Classical Poetry Art Song Market Trend Forecast and Big Data Analysis in Music Industry

A Strategic Study on Quality Improvement of Physical Education Teaching Empowered by Digital Intelligence Technology

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