Abstract
In order to improve the resource scheduling efficiency of the smart education system in colleges and universities and improve the stability and security of educational resource processing, this paper combines cloud-side collaborative computing technology to improve the cloud computing task scheduling algorithm and uses the improved algorithm for task scheduling. Moreover, this paper combines the global optimization and local optimization processes to make the final optimal solution performance better and further reduce the task scheduling execution time in the cluster, thereby improving the computing efficiency of cloud computing. In addition, this paper combines the improved algorithm to construct the system structure framework and verifies the system performance through experiments. The experimental research results show that the smart education system in colleges and universities based on the cloud-side collaborative computing task scheduling algorithm constructed in this paper is very good in all aspects and has a greater advantage in processing educational resources.
Highlights
Today, when Internet information technology is becoming more and more mature, the concept of teaching interaction is becoming more and more abundant, which makes the choice of learning methods and content more diversified
The rise of the concept of cloud computing drives the development of cloud storage technology
We can see that the smart education system of colleges and universities based on the cloudside collaborative computing task scheduling algorithm constructed in this paper is very good in all aspects and has a greater advantage in processing educational resources
Summary
Today, when Internet information technology is becoming more and more mature, the concept of teaching interaction is becoming more and more abundant, which makes the choice of learning methods and content more diversified. Students’ evaluation of their own learning achievements is mainly through mutual evaluation and selfevaluation, and students can evaluate teachers’ teaching behavior [1] Such technical means can help students form better learning habits and strong learning interests and enable teachers to more intuitively understand the learning situation of each student. This method is even more important when most teachers are still subjectively evaluating the learning behavior of students, making it possible to evaluate what was previously considered impossible [2]. This article combines the cloud-side collaborative computing task scheduling algorithm to construct a smart education system in colleges and universities, analyzes the process of smart education in colleges and universities, and further improves the effect of smart education on this basis
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