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Research on Resource Sharing and Concurrency Access Based on E-learning Platform

机译:研究资源共享和并发性访问基于电子学习平台

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摘要

With the rapid development of the Internet and communication technology, E-learning is becoming a popular way of learning. This paper propose a genetic concurrency balancing algorithm to solve resource sharing problem. The proposed algorithm uses a resource sharing balancing model and genetic algorithm. Experimental results show that the proposed algorithm can effectively improve the throughput and reduce the execution time.
机译:与互联网的快速发展通信技术,电子学习学习的一种流行方式。遗传平衡算法来解决并发性资源共享问题。使用一个平衡模型和资源共享遗传算法。该算法可以有效地改善吞吐量和减少执行时间。

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