Skip to main content

Design of Smart Home System Based on Collaborative Edge Computing and Cloud Computing

  • Conference paper
  • First Online:
Algorithms and Architectures for Parallel Processing (ICA3PP 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12454))

Abstract

With the rapid development of the Internet, more and more smart devices are beginning to enter people’s daily lives. The intelligentization of home appliances has gradually become a trend in home networking. How to construct and manage smart homes reasonably system has become the focus of research. Considering the needs and characteristics of smart homes, this paper combines edge computing and cloud computing in intelligent home scenarios to design a smart home system. To improve the system’s reliability and real-time performance, we propose a cloud and edge collaborative processing algorithm strategy and use Kubernetes container management platform technology to deploy the system uniformly. Experimental results showed that the system has higher operating efficiency than the system using cloud computing as the center and single edge computing as the center, which can further ensure the smart homes real-time requirements.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Liu, Q., Cui, L., Haiqiang, C.: Key technologies and applications of the internet of things. Computer Science (2010)

    Google Scholar 

  2. Babou, C.S.M., Fall, D., Kashihara, S., Niang, I., Kadobayashi, Y.: Home edge computing (HEC): design of a new edge computing technology for achieving ultra-low latency. In: Liu, S., Tekinerdogan, B., Aoyama, M., Zhang, L.J. (eds.) EDGE 2018. LNCS, vol. 10973, pp. 3–17. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94340-4_1

    Chapter  Google Scholar 

  3. Fang, J., Guangjian, Z.: The research and design on smart home system based on internet of things. Int. J. Comput. Eng. 1(4) (2016)

    Google Scholar 

  4. Han, D.M., Lim, J.H.: Design and implementation of smart home energy management systems based on zigbee. IEEE Trans. Consum. Electron. 56(3), 1417–1425 (2010)

    Article  Google Scholar 

  5. Al-Ali, A.R., Zualkernan, I.A., Rashid, M., et al.: A smart home energy management system using IoT and big data analytics approach. IEEE Trans. Consum. Electron. 63(4), 426–434 (2018)

    Article  Google Scholar 

  6. Babou, C.S.M., Fall, D., Kashihara, S., Niang, I., Kadobayashi, Y.: Home edge computing (HEC): design of a new edge computing technology for achieving ultra-low latency. In: Liu, S., Tekinerdogan, B., Aoyama, M., Zhang, L.J. (eds.) EDGE 2018. LNCS, vol. 10973, pp. 3–17. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94340-4_1

    Chapter  Google Scholar 

  7. Dautov, R., Distefano, S.: Three-level hierarchical data fusion through the IoT, edge, and cloud computing. International Conference on Internet of Things & Machine Learning, 1–5 ACM (2017)

    Google Scholar 

  8. Thai, M.T., Lin, Y.D., Lai, Y.C., et al.: Workload and capacity optimization for cloud-edge computing systems with vertical and horizontal offloading. IEEE Trans. Netw. Serv. Manag. 17(1), 227–238 (2020)

    Article  Google Scholar 

  9. Wu, H., Zhang, Z., Guan, C., et al.: Collaborate edge and cloud computing with distributed deep learning for smart city internet of things. IEEE Internet Things J. 7, 8099–8110 (2020)

    Google Scholar 

  10. Wang, X., Yang, L.T., Xie, X., et al.: A cloud-edge computing framework for cyber-physical-social services. IEEE Commun. Mag. 55(11), 80–85 (2017)

    Article  Google Scholar 

  11. Goldberg, R.P.: Survey of virtual machine research. Computer 7(6), 34–45 (1974)

    Article  Google Scholar 

  12. Wan, X., Guan, X., Wang, T., Bai, G., Choi, B.Y.: Application deployment using microservice and docker containers: framework and optimization. J. Netw. Comput. Appl. 119, 97–109 (2018)

    Article  Google Scholar 

  13. Du, D.Z., Ko, K.I., Hu, X.: Design and analysis of approximation algorithms. Springer optimization and its applications. Greedy Strategy, vol. 62. Springer, New York (2012)

    Google Scholar 

  14. Pang, Yu.: Application research of docker technology in software development process. Commun. Manag. Technol. 000(002), 45–47 (2019)

    Google Scholar 

Download references

Acknowledgment

This work is supported by the National Key Research and Development Plan of China under Grant No. 2016YFB0501801, National Natural Science Foundation of China under Grant No. 61170026, the National Standard Research Project under Grant No.2016BZYJ-WG7 − 001,the Key Research and Development Plan of Jiang Xi province under Grant No. 20171ACE50022 and the Natural Science Foundation of Jiang Xi province under Grant No. 20171BAB202011, the science aánd technology research project of Jiang Xi Education Department under Grant Nos. GJJ180730,GJJ1807 − 27,GJJ181520, and the Science and Technology project of Jingdezhen under Grant Nos. 20182GYZD011 − 01, 20192GYZD008 − 01, 2019 GYZD008 − 03,and the Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China (No.ICT 20025).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hua Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ma, Q., Huang, H., Zhang, W., Qiu, M. (2020). Design of Smart Home System Based on Collaborative Edge Computing and Cloud Computing. In: Qiu, M. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2020. Lecture Notes in Computer Science(), vol 12454. Springer, Cham. https://doi.org/10.1007/978-3-030-60248-2_24

Download citation

Publish with us

Policies and ethics