Username   Password       Forgot your password?  Forgot your username? 

 

Analysis of Cloud Computing Algorithm based on Smart Campus Message System

Volume 15, Number 2, February 2019, pp. 700-709
DOI: 10.23940/ijpe.19.02.p34.700709

Ning Maa and Weina Fub

aCollege of Computer and Communication, Anhui Open University, Hefei, 230000, China
bCollege of Information Science and Engineering, Hunan Normal University, Changsha, 410081, China

(Submitted on November 2, 2018; Revised on December 3, 2018; Accepted on January 4, 2019)

Abstract:

In order to solve the shortcomings of the smart campus message system constructed by the current method in network indicators, data processing, business interface, human-computer interaction, and other technologies, a cloud computing algorithm-based smart campus message system construction method was proposed. In this method, the LAN interconnection, the network multimedia terminal, and the network architecture platform were established by the cloud computing algorithm. This method established the awareness of smart campus development, established the cloud smart campus management norm system, and constrained the network environment based on the cloud smart campus. The overall structure of the smart campus message system was constructed from the technical level, the main layer, and the constraint layer. The functional module analysis of the smart campus message system software was performed, which had two major categories, including basic function modules and extended function modules. It achieved the construction of a smart campus messaging system based on cloud computing algorithms. The experimental results showed that the proposed method had obvious advantages in network indicators, data processing, business interface, human-computer interaction and other technologies which can bring a lot of convenience to the school staff.

 

References: 15

        1. K. Kusakana, “Optimal Scheduled Power Flow for Distributed Photovoltaic/Wind/Diesel Generators with the Battery Storage System,” IET Renewable Power Generation, Vol. 9, pp. 916-924, 2015
        2. Y. Yu, M. H. Au, G. Ateniese, X. Huang, W. Susilo, Y. Dai, et al., “Identity-based Remote Data Integrity Checking with Perfect Data Privacy Preserving for Cloud Storage,” IEEE Transactions on Information Forensics and Security, Vol. 12, pp. 767-778, 2017
        3. X. Liu, “A Study on Smart Campus Model in the Era of Big Data,” in Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016), pp. 919-922, 2016
        4. N. A. Kassim, “Evaluating Users’ Satisfaction on Academic Library Performance,” Malaysian Journal of Library & Information Science, Vol. 14, pp. 101-115, 2017
        5. W. J. Shyr, L.-W. Zeng, C.-K. Lin, C.-M. Lin, and W.-Y. Hsieh, “Application of an Energy Management System via the Internet of Things on a University Campus,” Eurasia Journal of Mathematics, Science and Technology Education, Vol. 14, pp. 1759-1766, 2018
        6. S. Liu, W. Fu, H. Deng, C. Lan, and J. Zhou, “Distributional Fractal Creating Algorithm in Parallel Environment,” International Journal of Distributed Sensor Networks, Vol. 9, pp. 281707, 2013
        7. Y. Huang, C. White, H. Xia, and Y. Wang, “A Computational Cognitive Modelling Approach to Understand and Design Mobile Crowdsourcing for Campus Safety Reporting,” International Journal of Human-Computer Studies, Vol. 102, pp. 27-40, 2017
        8. M. Liu, S. Liu, W. Fu, and J. Zhou, “Distributional Escape Time Algorithm based on Generalized Fractal Sets in Cloud Environment,” Chinese Journal of Electronics, Vol. 24, pp. 124-127, 2015
        9. M. Arif, M. Illahi, A. Karim, S. Shamshirband, K. A. Alam, S. Farid, et al., “An Architecture of Agent-based Multi-Layer Interactive E-Learning and E-Testing Platform,” Quality & Quantity, Vol. 49, pp. 2435-2458, 2015
        10. D. Li, J. Cao, and Y. Yao, “Big Data in Smart Cities,” Science China Information Sciences, Vol. 58, pp. 1-12, 2015
        11. S. Ting, Y. Tse, G. Ho, S. Chung, and G. Pang, “Mining Logistics Data to Assure the Quality in a Sustainable Food Supply Chain: A Case in the Red Wine Industry,” International Journal of Production Economics, Vol. 152, pp. 200-209, 2014
        12. B. Jia, S. Liu, and Y. Yang, “Fractal Cross-Layer Service with Integration and Interaction in Internet of Things,” International Journal of Distributed Sensor Networks, Vol. 10, pp. 760248, 2014
        13. X. Haiyun and F. Xiao, “Design of Digital Campus Office Automation System based on Portlet and Workflow,” Issues, 2016
        14. P. K. Paul and M. K. Ghose, “A Novel Educational Proposal and Strategies Toward Promoting Cloud Computing, Big Data, and Human-Computer Interaction in Engineering Colleges and Universities,” in Advances in Smart Grid and Renewable Energy, ed: Springer, pp. 93-102, 2018
        15. X. Li, J. Song, and B. Huang, “A Scientific Workflow Management System Architecture and its Scheduling based on Cloud Service Platform for Manufacturing Big Data Analytics,” The International Journal of Advanced Manufacturing Technology, Vol. 84, pp. 119-131, 2016

         

        Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

         
        This site uses encryption for transmitting your passwords. ratmilwebsolutions.com