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).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lu, Y.-h., Ming, Z., Zhang, L.: Collaboration patterns of business process (in Chinese). J. Comput. Integr. Manuf. Syst. 17, 1570–1579 (2011)
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)
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)
Workflow Management Coalition: ‘Workflow management coalition terminology and glossary’. http://www.wfmc.org/
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)
Wang, K., Bai, X., Li, J.: C. Ding.: A service-based framework for pharmacogenomics data integration. J. Enterp. Inf. Syst. 4, 225–245 (2010)
Xu, L.: Enterprise systems: State-of-the-art and future trends. J. IEEE Trans. Indust. Inf. 7, 630–640 (2011)
Zdravković, M., Panetto, H., Trajanovic, M., Aubry, A.: An approach for formalizing the supply chain operations. J. Enterp. Inf. Syst. 5, 401–421 (2011)
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)
Guo, J.: Collaboration role in semantic integration for electronic marketplace. J. Int. J. Electron. Bus 8, 528–549 (2010)
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)
Li, X.-T., Fan, Y.-S.: Analyzing compatibility and similarity of web service processes (in Chinese). Chin. J. Comput. 32, 2429–2437 (2009)
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)
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)
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)
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)
Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithm. Plenum Press, New York (1981)
Pedrycz, W.: Knowledge-Based Clustering: From Data to Information Granules. Wiley Press, Hoboken (2005)
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)
Chen, M., Mao, S., Zhang, Y., Leung, V.: Big Data: Related Technologies, Challenges and Future Prospects. Springer, New York (2014)
Chen, M., Mao, S., Liu, Y.: Big data: a survey. J. ACM/Springer Mob. Netw. Appl. 19, 171–209 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)