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Model-Driven Architecture for the QoS-Based Adaptive Sensor Network System

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Business Modeling and Software Design (BMSD 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 220))

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Abstract

The key idea of this article is to apply Model-Driven QoS-aware approach to the wireless sensor network that are controlled by the network of “smart” controllers. The sensors are connected via SPI interface to the controllers installed at the oil wells in order to provide smooth data collection and transmission to meet quality of service requirements. One of the new approaches to implement decentralized adaptation technique, in particular, self-organizing transmission system. The self-organizing system control is entirely dependent on the decision taken at the local level, i.e. at the level of system components. However, it is hard to reach global attainability of Quality of Service (QoS) requirements at run-time. In our work, we propose Model-Driven Architecture, the meta-model and its semantics, as the basis for an adaptation framework. The adaptation is realized as an automatic transformation through the policy generation.

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References

  1. Akzhalova, A., Poernomo, I.: Model driven approach for dynamic service composition based on QoS constraints. In: IEEE Congress on Services, pp. 590–597 (2010)

    Google Scholar 

  2. Bellman, R.: Dynamic Programming. Princeton University Press, Princeton (1957)

    Google Scholar 

  3. Damianou, N., Dulay, N., Lupu, E.C., Sloman, M.: The ponder policy specification language. In: Sloman, M., Lobo, J., Lupu, E.C. (eds.) POLICY 2001. LNCS, vol. 1995, pp. 18–38. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  4. Lymberopoulos, L., Lupu, E., Sloman, M.: An adaptive policy-based framework for network services management. J. Netw. Syst. Manage. 11(3), 277–303 (2003)

    Article  Google Scholar 

  5. Keen, M., Acharya, A., et al.: Patterns: Implementing an SOA Using an Enterprise Service Bus. IBM Corp., Riverton (2004)

    Google Scholar 

  6. Wang, G., Wang, C., Chen, A., Wang, H., Fung, C., Uczekaj, S., Chen, Y.-L., Guthmiller, W. G., Lee, J.: Service level management using QoS monitoring, diagnostics, and adaptation for networked enterprise systems. In: EDOC 2005: Proceedings of the Ninth IEEE International EDOC Enterprise Computing Conference, pp. 239–250. IEEE Computer Society (2005)

    Google Scholar 

  7. Wang, C., Wang, G., Wang, H., Chen, A., Santiago, R.: Quality of Service (QoS) Contract Specification, Establishment, and Monitoring for Service Level Management. In: EDOCW 2006: Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops, IEEE Computer Society (2006)

    Google Scholar 

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Correspondence to Assel Akzhalova .

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Akzhalova, A., Alexeev, M., Sarsembayev, B. (2015). Model-Driven Architecture for the QoS-Based Adaptive Sensor Network System. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2014. Lecture Notes in Business Information Processing, vol 220. Springer, Cham. https://doi.org/10.1007/978-3-319-20052-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-20052-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20051-4

  • Online ISBN: 978-3-319-20052-1

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