Skip to main content
SpringerLink
Log in

Cloud Computing Management Platform of Human Resource Based on Mobile Communication Technology

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

For studying the cloud computing management platform of human resources, according to the plight of group enterprise human resource management research, a set of human resource management information system based on cloud computing technology is designed, which is used in various fields of group enterprise human resources management, such as personnel management, organization management, salary management, attendance management and so on. The results show that the group level human resource management information system based on cloud computing can help enterprises to complete the task of human resource management efficiently, which reduces the communication costs and improves the management efficiency. In addition, it achieves the group enterprise human resources data search of MapReduce engine under the framework of Hadoop, report data check and so on massive data computing task. In summary, it provides a cloud computing based group human resource management information system achieved based on JAVA programming language, and provides PC terminal, mobile terminal, flat terminal and other multi terminal operating platforms, which has high application value.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Ali-Yrkkö, J., Heikkilä, J., Lööf, H., Martinsuo, M., Mohammadi, A., Olhager, J., Pajarinen, M., Rouvinen, P., & Tuhkuri, J. (2017). International sourcing in Finland and Sweden. ETLA B.

  2. Al-Dmour, R. H., Masa’deh, R. E., & Obeidat, B. Y. (2017). Factors influencing the adoption and implementation of HRIS applications: Are they similar? International Journal of Business Innovation and Research, 14(2), 139–167.

    Article  Google Scholar 

  3. Battistelli, C., McKeever, P., Gross, S., Ponci, F., & Monti, A. (2018). Implementing energy service automation using cloud technologies and public communications networks. In Rovera, W. (Ed.), Sustainable cloud and energy services (pp. 49–84). Cham: Springer.

    Chapter  Google Scholar 

  4. Singh, S., & Chana, I. (2016). QoS-aware autonomic resource management in cloud computing: A systematic review. ACM Computing Surveys (CSUR), 48(3), 42.

    Google Scholar 

  5. Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: A survey. Future Generation Computer Systems, 56, 684–700.

    Article  Google Scholar 

  6. Almorsy, M., Grundy, J., & Müller, I. (2016). An analysis of the cloud computing security problem. arXiv preprint arXiv:1609.01107.

  7. Hameed, A., Khoshkbarforoushha, A., Ranjan, R., Jayaraman, P. P., Kolodziej, J., Balaji, P., et al. (2016). A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems. Computing, 98(7), 751–774.

    Article  MathSciNet  Google Scholar 

  8. Gravina, R., Ma, C., Pace, P., Aloi, G., Russo, W., Li, W., & Fortino, G. (2016). Cloud-based activity-aaService cyber–physical framework for human activity monitoring in mobility. Future Generation Computer Systems, 75, 158–171.

    Article  Google Scholar 

  9. Singh, S., & Chana, I. (2016). A survey on resource scheduling in cloud computing: Issues and challenges. Journal of Grid Computing, 14(2), 217–264.

    Article  Google Scholar 

  10. Zegura, E., Grinter, B., Belding, E., & Nahrstedt, K. (2017). A rural lens on a research agenda for intelligent infrastructure. arXiv preprint arXiv:1705.02004.

  11. Soomro, Z. A., Shah, M. H., & Ahmed, J. (2016). Information security management needs more holistic approach: A literature review. International Journal of Information Management, 36(2), 215–225.

    Article  Google Scholar 

  12. Pop, F., & Potop-Butucaru, M. (2016). ARMCO: Advanced topics in resource management for ubiquitous cloud computing: An adaptive approach. Future Generation Computer Systems, 54, 79–81.

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the Chongqing Social Science Planning Fund Program (Grant 2017YBJJ043).

Author information

Authors and Affiliations

  1. Three Gorges Research Institute, Chongqing Three Gorges University, Chongqing, China

    Zhengbao Lv & Yanqiong Yang

  2. Signal and Information Processing Key Lab, Chongqing Three Gorges University, Chongqing, China

    Zefu Tan

  3. College of Public Management, Chongqing Three Gorges University, Chongqing, China

    Qian Wang

Authors
  1. Zhengbao Lv
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zefu Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qian Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yanqiong Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhengbao Lv.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lv, Z., Tan, Z., Wang, Q. et al. Cloud Computing Management Platform of Human Resource Based on Mobile Communication Technology. Wireless Pers Commun 102, 1293–1306 (2018). https://doi.org/10.1007/s11277-017-5195-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-5195-y

Keywords

Search

Navigation