Skip to main content

Integrated Evolution Model of Service Internet Based on an Improved Logistic Growth Model

  • Conference paper
  • First Online:
Cooperative Design, Visualization, and Engineering (CDVE 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12341))

  • 1018 Accesses

Abstract

Service Internet is a complex, networked, and comprehensive service system formed by a large number of service units in different networks through a highly cooperative relationship. It can effectively and accurately create value for service stakeholders, and provide basic theoretical support for service application in many different situations. Nevertheless, there is a lack of systematic research on the overall dynamic evolution of service Internet, which leads to the lack of relevant mathematical models and theoretical guidance on the control and optimization for the overall service Internet. Therefore, considering the system characteristics such as cooperation and competition in service internet, this paper puts forward an overall evolution model of service Internet based on the logistic growth model, and then makes a theoretical analysis of its life cycle and evolution path. Finally, we use real-world electronic technology industry cluster data to verify the proposed model. Experiment results show that our model can better reflect and predict the evolution trend of service Internet.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Huang, K., Fan, Y., Tan, W.: An empirical study of programmable web: a network analysis on a service-mashup system. In: 2012 IEEE 19th International Conference on Web Services, pp. 552–559. IEEE (2012)

    Google Scholar 

  2. Jin, W., McCue, S.W., Simpson, M.J.: Extended logistic growth model for heterogeneous populations. J. Theor. Biol. 445, 51–61 (2018)

    MathSciNet  MATH  Google Scholar 

  3. Wang, X., Feng, Z., Chen, S., Huang, K.: DKEM: a distributed knowledge based evolution model for service ecosystem. In: 2018 IEEE International Conference on Web Services (ICWS), pp. 1–8. IEEE (2018)

    Google Scholar 

  4. Xu, H., Pan, Y., Li, J., Nie, L., Xu, X.: Activity recognition method for home-based elderly care service based on random forest and activity similarity. IEEE Access 7, 16217–16225 (2019)

    Google Scholar 

  5. Xu, X., Sheng, Q.Z., Zhang, L.J., Fan, Y., Dustdar, S.: From big data to big service. Computer 7, 80–83 (2015)

    Google Scholar 

  6. Zhang, K., Ma, B., Dong, P., Tang, B., Cai, H.: Research on producer service innovation in home-textile industrial cluster based on cloud computing platform. In: Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, pp. 155–160. IEEE (2010)

    Google Scholar 

Download references

Acknowledgements

This research is supported by the National Key Research and Development Program of China (No. 2018YFB1402902).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuangxi 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

Jia, Z., Huang, S., Fan, Y. (2020). Integrated Evolution Model of Service Internet Based on an Improved Logistic Growth Model. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2020. Lecture Notes in Computer Science(), vol 12341. Springer, Cham. https://doi.org/10.1007/978-3-030-60816-3_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-60816-3_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60815-6

  • Online ISBN: 978-3-030-60816-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics