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5G network education and smart campus based on heterogeneous distributed platform and multi-scheduling optimization

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Abstract In order to build a high-efficiency intelligent education system, this paper combines the current hottest 5G network de-networking construction model, uses 5G network to improve the system's operating speed, and uses a multi-installment scheduling optimization algorithm to construct an intelligent education model. Moreover, this paper establishes a new multi-installment scheduling optimization model. Given the server scheduling sequence, the optimal number of multi-installment scheduling and the optimal task allocation plan are derived. In addition, this paper designs a new global optimization algorithm, obtains the optimal server scheduling sequence, and establishes a new multi-installment scheduling optimization model with the shortest task completion time as the goal. Simultaneously, this paper fixes the server's scheduling sequence to the ascending order of transmission rate, and derives the optimal number of scheduling and the optimal task allocation plan for multi-installment scheduling in non-blocking communication mode. In addition, this paper verifies the performance of the model after constructing the model. The research results show that the model constructed in this paper has better performance.
Research Square Platform LLC
Title: 5G network education and smart campus based on heterogeneous distributed platform and multi-scheduling optimization
Description:
Abstract In order to build a high-efficiency intelligent education system, this paper combines the current hottest 5G network de-networking construction model, uses 5G network to improve the system's operating speed, and uses a multi-installment scheduling optimization algorithm to construct an intelligent education model.
Moreover, this paper establishes a new multi-installment scheduling optimization model.
Given the server scheduling sequence, the optimal number of multi-installment scheduling and the optimal task allocation plan are derived.
In addition, this paper designs a new global optimization algorithm, obtains the optimal server scheduling sequence, and establishes a new multi-installment scheduling optimization model with the shortest task completion time as the goal.
Simultaneously, this paper fixes the server's scheduling sequence to the ascending order of transmission rate, and derives the optimal number of scheduling and the optimal task allocation plan for multi-installment scheduling in non-blocking communication mode.
In addition, this paper verifies the performance of the model after constructing the model.
The research results show that the model constructed in this paper has better performance.

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