Skip to main content

A Difference Detection Mechanism Between API Cache and Data Center in Smart Manufacturing

  • Conference paper
  • First Online:
Frontier Computing (FC 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 542))

Included in the following conference series:

  • 82 Accesses

Abstract

According to the concept of edge computing, some service and data should be moved to the equipment to enhance the computation efficiency. For example, in the software-defined hybrid cloud (SDHC) [1], moving the setting of production lines from the data center to the application programming interface (API) servers decreases the time required to verify the access traffic. However, capturing the setting difference between API servers and the data center is a critical problem. In this paper, we propose the partition and pass (PnP) mechanism to synchronize the production line settings saved in the API servers with that in the data center. In the case study, we show that the approximation ration is 1 / 2 comparing with current solutions. In other words, applying PnP in the SDHC will increase the computation performance in saving manufacturing data.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Tsung, C.K., Yen, C.T., Wu, W.F.: A software defined-based hybrid cloud for the design of smart micro-manufacturing system. Microsys. Technol. pp. 1–12 (2018)

    Google Scholar 

  2. Roblek, V., Meko, M., Krape, A.A.: Complex view of industry 4.0. SAGE Open, 6(2), 1–11

    Google Scholar 

  3. Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., Amicis, R., Pinto, E.B., Eisert, P., Dollner, J., Vallarino, I.: Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE Comput. Graph. Appl. 35(2), 26–40 (2015)

    Article  Google Scholar 

  4. Olston, C., Widom, J.: Best-effort cache synchronization with source cooperation. In: Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, pp. 73–84 (2002)

    Google Scholar 

  5. Nguyen, Q.M.: Synchronization in timestamp-based cache coherence protocols (Doctoral dissertation, Massachusetts Institute of Technology), 2016

    Google Scholar 

  6. Yates, R.D., Ciblat, P., Yener, A., Wigger, M.: Age-optimal constrained cache updating. In: IEEE International Symposium on Information Theory (ISIT), pp. 141–145 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chen-Kun Tsung .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yen, CT., Tsung, CK., Wu, WF. (2019). A Difference Detection Mechanism Between API Cache and Data Center in Smart Manufacturing. In: Hung, J., Yen, N., Hui, L. (eds) Frontier Computing. FC 2018. Lecture Notes in Electrical Engineering, vol 542. Springer, Singapore. https://doi.org/10.1007/978-981-13-3648-5_39

Download citation

Publish with us

Policies and ethics