Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

Research on the New Mode of Undergraduates’ Innovation and Entrepreneurship Education Under the Background of ‘Internet Plus’

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  • @INPROCEEDINGS{10.1007/978-3-030-19086-6_2,
        author={Liyan Tu and Lan Wu and Xiaoqiang Wu},
        title={Research on the New Mode of Undergraduates’ Innovation and Entrepreneurship Education Under the Background of ‘Internet Plus’},
        proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
        proceedings_a={ADHIP},
        year={2019},
        month={5},
        keywords={Internet plus College student entrepreneurship Resource scheduling Load balancing},
        doi={10.1007/978-3-030-19086-6_2}
    }
    
  • Liyan Tu
    Lan Wu
    Xiaoqiang Wu
    Year: 2019
    Research on the New Mode of Undergraduates’ Innovation and Entrepreneurship Education Under the Background of ‘Internet Plus’
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-19086-6_2
Liyan Tu1,*, Lan Wu1,*, Xiaoqiang Wu1
  • 1: Inner Mongolia University for the Nationalities
*Contact email: tlyimun@163.com, wlimun@163.com

Abstract

With the rapid development of network information technology and the popularity of mobile intelligent terminals, Internet industry has experienced rapid growth. As the main force for building socialism, college students have demonstrated unprecedented passion for innovation and entrepreneurship. In the ‘Internet plus’ background, under the innovation and entrepreneurship service platform for college students, resource scheduling is the key to the entire system, affecting the performance of the system. For this reason, this paper proposes a resource scheduling algorithm for college students’ innovation and entrepreneurship service platform based on load balancing, and constructs a dynamic project resource allocation scheme, which improves the utilization of resources. Experimental results verify the effectiveness of the proposed resource scheduling algorithm, the match rate between the project and the university graduates has increased by 30%.