Skip to main content

A Distributed Business Process Collaboration Architecture Based on Entropy in Cloud Computing

  • Conference paper
  • First Online:
Cloud Computing (CloudComp 2014)

Included in the following conference series:

  • 1473 Accesses

Abstract

Business process collaboration enable organizations to communication, interact and cooperate with each other to achieve specific business goals. Currently, the research work on business process mainly focus on the modelling and analysis for their organization structure or interactive relationship. This paper study business process collaboration from the view of software architecture, a distributed architecture called “agent end + stockholder end” is proposed, by analyzing the collaboration architecture finds, in the case of the participation organizations are given, determining the agents in collaboration and the participation organizations in every management region becomes the key for effective collaborating. For this reason, with the help of fuzzy cluster to determine the membership matrix and clustering centers firstly in this paper, then the best number of agent is determined through agent entropy, and thus the set of participation organizations in every management region are determined. Experiment results show that the method proposed in this paper is feasible and effective.

This work was financially supported by the National Natural Science Foundation of China (61262024,61379032,61462095), Yunnan Natural Science Foundation (2012FD005), Science Research Foundation of Yunnan Department of Education (2013Y365) and Open Foundation of Key Laboratory for Software Engineering of Yunnan Province (2012SE307).

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. Lu, Y.-h., Ming, Z., Zhang, L.: Collaboration patterns of business process (in Chinese). J. Comput. Integr. Manuf. Syst. 17, 1570–1579 (2011)

    Google Scholar 

  2. Rosa, M.L., ter Hofstede, A., Wohed, P., Reijers, H., Mendling, J., van der Aalst, W.: Managing process model complexity via concrete syntax modifications. J. IEEE Trans. Industr. Inf. 7, 255–265 (2011)

    Article  Google Scholar 

  3. Rosa, M.L., Wohed, P., Mendling, J., ter Hofstede, A., Reijers, H., van der Aalst, W.: Managing process model complexity via abstract syntax modifications. J. IEEE Trans. Industr. Inf. 7, 614–629 (2011)

    Article  Google Scholar 

  4. Workflow Management Coalition: ‘Workflow management coalition terminology and glossary’. http://www.wfmc.org/

  5. Li, S., Xu, L., Wang, X., Wang, J.: Integration of hybrid wireless networks in cloud services oriented enterprise information systems. J. Enterp. Inf. System 6, 165–187 (2012)

    Article  MATH  Google Scholar 

  6. Wang, K., Bai, X., Li, J.: C. Ding.: A service-based framework for pharmacogenomics data integration. J. Enterp. Inf. Syst. 4, 225–245 (2010)

    Article  Google Scholar 

  7. Xu, L.: Enterprise systems: State-of-the-art and future trends. J. IEEE Trans. Indust. Inf. 7, 630–640 (2011)

    Article  Google Scholar 

  8. Zdravković, M., Panetto, H., Trajanovic, M., Aubry, A.: An approach for formalizing the supply chain operations. J. Enterp. Inf. Syst. 5, 401–421 (2011)

    Article  Google Scholar 

  9. Guo, J., Xu, L., Gong, Z., Che, C.-P., Chaudhry, S.: Semantic inference on heterogeneous E-marketplace activities. J. IEEE Trans. Syst. Man, Cybern. Part A: Syst. Hum. 5, 401–421 (2012)

    Google Scholar 

  10. Guo, J.: Collaboration role in semantic integration for electronic marketplace. J. Int. J. Electron. Bus 8, 528–549 (2010)

    Article  Google Scholar 

  11. van der Aalst, W.M.P.: Modeling and analyzing interorganizational workflows. In: 1st International Conference on Application of Concurrency to System Design, pp. 262–272. IEEE Press, Washington, DC (1998)

    Google Scholar 

  12. Li, X.-T., Fan, Y.-S.: Analyzing compatibility and similarity of web service processes (in Chinese). Chin. J. Comput. 32, 2429–2437 (2009)

    MathSciNet  Google Scholar 

  13. Ji-Dong, G.E., Hu, H.-Y., Zhou, Y., Hu, H., Wang, D.-Y.: A decomposition approach with invariant analysis for workflow coordination (in Chinese). Chin. J. Comput. 35, 2169–2181 (2012)

    Google Scholar 

  14. van der Aalst, W.M.P., Lohmann, N., Massuthe, P., Stahl, C., Wolf, K.: Multiparty contracts: agreeing and implementing inter-organizational processes. Comput. J. 53, 90–106 (2010)

    Article  Google Scholar 

  15. Zhang, L., Lu, Y., Xu, F.: Unified modelling and analysis of collaboration business process based on Petri nets and Pi calculus. J. IET Softw. 4, 303–317 (2010)

    Article  Google Scholar 

  16. Zeng, Q.-T., Lu, F.-M., Liu, C., Meng, D.-C.: Modeling and analysis for cross-organizational emergency response systems using Petri nets (in Chinese). Chin. J. Comput. 36, 2291–2301 (2013)

    Google Scholar 

  17. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithm. Plenum Press, New York (1981)

    Book  Google Scholar 

  18. Pedrycz, W.: Knowledge-Based Clustering: From Data to Information Granules. Wiley Press, Hoboken (2005)

    Book  Google Scholar 

  19. Zhang, Y., Chen, M., Mao, S., Hu, L., Leung, V.: CAP: crowd activity prediction based on big data analysis. J. IEEE Netw. 28, 52–57 (2014)

    Article  Google Scholar 

  20. Chen, M., Mao, S., Zhang, Y., Leung, V.: Big Data: Related Technologies, Challenges and Future Prospects. Springer, New York (2014)

    Book  Google Scholar 

  21. Chen, M., Mao, S., Liu, Y.: Big data: a survey. J. ACM/Springer Mob. Netw. Appl. 19, 171–209 (2014)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fei Dai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Mo, Q., Dai, F., Zhu, R., Da, J., Lin, L., Li, T. (2015). A Distributed Business Process Collaboration Architecture Based on Entropy in Cloud Computing. In: Leung, V., Lai, R., Chen, M., Wan, J. (eds) Cloud Computing. CloudComp 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-319-16050-4_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-16050-4_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16049-8

  • Online ISBN: 978-3-319-16050-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics