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Mobile Service Composition

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Mobile Service Computing

Part of the book series: Advanced Topics in Science and Technology in China ((ATSTC,volume 58))

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Abstract

Service composition supports and realizes complex business logics through combining multiple single services. However, the mobile environment brings great challenges to the reliability of service composition due to the uncertain services quality and usability. In this chapter, a mobile service provisioning architecture is proposed to tackle the composition in mobile communities. Additionally, a dependable composition model is constructed to reduce the risk of the mobility of both service providers and requesters. Finally, a differential evolutionary for constraint-driven service composition algorithm is designed to ensure the successful composition.

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References

  1. B. Liu, K. Huang, J. Li, M. Zhou, An incremental and distributed inference method for large-scale ontologies based on mapreduce paradigm. IEEE Trans. Cybern. 45(1), 53–64 (2015)

    Article  Google Scholar 

  2. P. Xiong, Y. Fan, M. Zhou, A Petri net approach to analysis and composition of web services. IEEE Trans. Syst. Man Cybern. B Cybern. 40(2), 376–387 (2010)

    Google Scholar 

  3. J. Yu, Q.Z. Sheng, M. Younas, E. Shakshuki, Advances in context-aware mobile services. Pers. Ubiquit. Comput. 18(5), 1027–1028 (2014)

    Article  Google Scholar 

  4. S. Deng, L. Huang, D. Hu, Z.J. Leon, Z. Wu, Mobility-enabled service selection for composite services. IEEE Trans. Serv. Comput. https://doi.org/10.1109/tsc.2014.2365799

  5. S.H. Semnani, O.A. Basir, Semi-flocking algorithm for motion control of mobile sensors in large-scale surveillance systems. IEEE Trans. Cybern. 45(1), 129–137 (2015)

    Article  Google Scholar 

  6. C.-P. Chen et al., A hybrid memetic framework for coverage optimization in wireless sensor networks. IEEE Trans. Cybern. https://doi.org/10.1109/tcyb.2014.2371139

  7. K. Elgazzar, P. Martin, Mobile web services: state of the art and challenges. Int. J. Adv. Comput. Sci. Appl. 5(3), 173–188 (2014)

    Google Scholar 

  8. S. Li, L.D. Xu, S. Zhao, The internet of things: a survey. Inf. Syst. Front. 17(2), 243–259 (2014)

    Article  Google Scholar 

  9. S. Deng et al., Toward risk reduction for mobile service composition. IEEE Trans. Cybern. 46(8), 1807–1816 (2016)

    Article  Google Scholar 

  10. S. Deng, L. Huang, J. Taheri, J. Yin, M. Zhou, A.Y. Zomaya, Mobility-aware service composition in mobile communities. IEEE Trans. Syst. Man Cybern. Syst. 47(3), 555–568 (2017)

    Article  Google Scholar 

  11. L. Zeng, B. Benatallah, A.H.H. Ngu et al., QoS-aware middleware for web services composition. IEEE Trans. Software Eng. 30(5), 311–327 (2004)

    Article  Google Scholar 

  12. H. Wada, J. Suzuki, Y. Yamano et al., A multiobjective optimization framework for SLA-aware service composition. IEEE Trans. Serv. Comput. 5(3), 358–372 (2012)

    Article  Google Scholar 

  13. M. Clerc, Particle Swarm Optimization (Wiley, Hoboken, 2010)

    Google Scholar 

  14. F. Tao, D. Zhao, Y. Hu et al., Resource service composition and its optimal-selection based on particle swarm optimization in manufacturing grid system. IEEE Trans. Industr. Inf. 4(4), 315–327 (2008)

    Article  Google Scholar 

  15. D.D. Wu, S.-H. Chen, D.L. Olson, Business intelligence in risk management: some recent progresses. Inf. Sci. 256, 1–7 (2014)

    Article  Google Scholar 

  16. F. Wagner, F. Ishikawa, S. Honiden, QoS-aware automatic service composition by applying functional clustering, in IEEE International Conference on Web Services (2011), pp. 89–96

    Google Scholar 

  17. S. Kirkpatrick, C.D. Gelatt, M.P. Vecchi, Optimization by simulated annealing. Science 220(4598), 671–680 (1983)

    Google Scholar 

  18. W.L. Goffe, G.D. Ferrier, J. Rogers, Global optimization of statistical functions with simulated annealing. J. Econometrics 60(1), 65–99 (1994)

    Article  Google Scholar 

  19. M. Alrifai, T. Risse, W. Nejdl, A hybrid approach for efficient Web service composition with end-to-end QoS constraints. ACM Trans. Web (TWEB) 6(2), 7 (2012)

    Google Scholar 

  20. H.T. Dinh, C. Lee, D. Niyato, P. Wang, A survey of mobile cloud computing: architecture, applications, and approaches. Wirel. Commun. Mob. Comput. 13(18), 1587–1611 (2013)

    Article  Google Scholar 

  21. W. Jiang, C. Zhang, Z. Huang, M. Chen, S. Hu, Z. Liu, QSynth: a tool for QoS-aware automatic service composition, in IEEE International Conference on Web Services (2010), pp. 42–49

    Google Scholar 

  22. Y. Shen, X. Yang, Y. Wang, Z. Ye, Optimizing QoS-aware services composition for concurrent processes in dynamic resource-constrained environments, in IEEE International Conference on Web Services (2012), pp. 250–258

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Zhejiang University, Huangzhou, Zhejiang, China

    Shuiguang Deng & Jianwei Yin

  2. College of Intelligence and Computing, Tianjin University, Tianjin, Hebei, China

    Hongyue Wu

Authors
  1. Shuiguang Deng
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  2. Hongyue Wu
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  3. Jianwei Yin
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Correspondence to Shuiguang Deng .

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© 2020 Zhejiang University Press and Springer Nature Singapore Pte Ltd.

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Deng, S., Wu, H., Yin, J. (2020). Mobile Service Composition. In: Mobile Service Computing. Advanced Topics in Science and Technology in China, vol 58. Springer, Singapore. https://doi.org/10.1007/978-981-15-5921-1_5

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  • DOI: https://doi.org/10.1007/978-981-15-5921-1_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5920-4

  • Online ISBN: 978-981-15-5921-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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