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

Author:

Yu Liu1,Enzheng Wang2

Affiliation:

1. Yantai Vocational College

2. Yantai Dongyang New Energy Co., Ltd.

Abstract

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.

Publisher

Research Square Platform LLC

Reference20 articles.

1. Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)[J];Qian Q;Mach Learn,2015

2. Large margin relative distance learning for person re-identification[J];Dong H;IET Comput Vision,2017

3. Twelve tips for academic role and institutional change in distance learning[J];Delgaty L;Med Teach,2015

4. Stefanovic M, Tadic D, Nestic S et al (2015) An Assessment of Distance Learning Laboratory Objectives for Control Engineering Education[J], Computer applications in engineering education, 23(2):191–202

5. Developing Open and Distance Learning Programme in Labour and Development: Results of a Needs Assessment Study[J];BABU P;J Nat Hist,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3