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A BPEL-Based Web Service Flow Engine in the Early Warning of the Volcano Effusion

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Cloud Computing (CloudComp 2013)

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Abstract

Web service flow engine is the core of the service assembling and cooperating system in volcano early warning data-shared platform. We design and realize a lightweight web service flow based on BPEL standard. It takes charge of parsing the service flow model constructed by users, checking-up the syntax and logic of the service flow file, constructing the basic elements of the given service flow, and then executing it according to the BPEL standard. Then the engine collects all the executing information and invoking results, at the same time it also supervises the execution of web services, managing the invocation of services. Finally it returns the results back to users. Experimental results show that our engine can work correctly, the time efficiency is high and the occupancy rate of system resources is nearly zero.

This work was supported by the special fund of earthquake \({\langle}\!{\langle}\)Experimental Research on the Applications of the Early Warning of Volcano Effusion in Changbai Mountain Tianchi\({\rangle}\!{\rangle}\) (No. 201208005), and National Natural Science Foundation of China (No. 61100066)

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References

  1. Yuwen, T., Tienan, L., Mingzhi, Ma., Xuemei, L., Xin, Z.: Characteristics of volcano and earthquake activity in the Changbai Mountain Tianchi. Sci. Technol. Inf. 05, 214–215 (2011)

    Google Scholar 

  2. Zhang, J., Deng, P., Wan, J., Yan, B., Rong, X., Chen, F.: A novel multimedia device ability matching technique for ubiquitous computing environments. EURASIP J. Wirel. Commun. Netw. (2013). doi:10.1186/1687-1499-2013-181

    Google Scholar 

  3. Schwotzer, T., Geihs, K.: Shark–a system for management, synchronization and exchange of knowledge in mobile user groups. J. Univ. Comput. Sci. 8(6), 644–651 (2002)

    Google Scholar 

  4. WfMC, 2009, Binding, WfMC Standards, WFMC-TC-1023. http://www.wfmc.org (2000)

  5. Debnath, N., Zorzan, F., Montejano, G., Riesco, D.: Management of software development projects based on SmallRUP methodology through a standard workflow engine. In: 2011 9th IEEE International Conference on Industrial Informatics (INDIN 2011), pp. 671–675 (2011)

    Google Scholar 

  6. Woheda, P., Russellb, N., ter Hofstedec, A.H.M., Anderssona, B., van der Aalst, W.M.P.: Patterns-based evaluation of open source BPM systems: the cases of jBPM, OpenWFE, and Enhydra Shark. Inf. Softw. Technol. 51(8), 1187–1216 (2009)

    Article  Google Scholar 

  7. Moser, O., Rosenberg, F., Dustdar, S.: Non-intrusive monitoring and service adaptation for WS-BPEL. In: Proceedings of the 17th International Conference on World Wide Web, pp. 815−824 (2008)

    Google Scholar 

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Correspondence to Jingyuan Pang .

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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Pang, J., Wang, C., Deng, P., Lu, Y., Liu, H. (2014). A BPEL-Based Web Service Flow Engine in the Early Warning of the Volcano Effusion. In: Leung, V., Chen, M. (eds) Cloud Computing. CloudComp 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-319-05506-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-05506-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05505-3

  • Online ISBN: 978-3-319-05506-0

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