A Service Publishing and Service Location Algorithm for Internet of Things

Abstract:

The designation idea and the hierarchy model for the WSDS based on double hierarchy topology have been described. In order to support QoS-based Web services publish and discovery, the QoS broker mechanism is introduced into the traditional Web service discovery model. On the basis of these, according to the characteristics of QoS requirements of different users, a QoS-based Web service discovery algorithm is proposed. Put forward dynamic tuple model, give two-phase service location algorithm adapting double hierarchy topology network, and then compare and test with the correlative work of UDDI. Hierarchy model is introduced to defining dynamic tuple model in the data-level for resolving the heterogeneity between diversified data source and data modal. The unified publish and query API customized to implement unified accessing mode in the abstract level. The scalability, agility and robustness of the WSDS are assured by a double hierarchy topology structure. The experiment result indicate, double hierarchy topology system has obvious self-organization and well scalability, and adopt to the independence of web service, dynamic change and strong distributing, at one time, two-phase service location algorithm has well abilities of service location.

• Periodical: Applied Mechanics and Materials (Volumes 433-435)
• Pages: 1581-1587
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.433-435.1581
• Online since: October 2013
• Authors: Shu Ren Zhu*
• Keywords: Internet of Things (IOT), Publish/Subscribe, Service Location Algorithm, Service Publishing

References

[1] KOKASH N, BIRU KOU A, DPANDREA V, Web Service discovery based on past user experience. In: Proceedings of International Conference on Business Information Systems. Berlin, Germany, Springer, (2007).

[2] Information on http: /www. uddi. org/pubs/uddi-v3. htm.

[3] HU Jian-qiang, ZOU Peng, WANG Huai-min, Chinese Journal of Computers, Vol. 28(2005), pp.505-512. (in chinese).

[4] KLEIN M, BERNSTEIN A, IEEE Internet Computing, Vol. 11 (2004), pp.30-36.

[5] Sivashanmugam K, Sheth V K A, IEEE Computer Society, Vol. 35 (2004), pp.270-278.

[6] MAJITHIA S, Concurrency and Comput.: Practice & Experience, Vol. 18 (2006), pp.817-826.

[7] Information on http: /sunsite. informatik. rwth-aachen. de/publications/ Vol223/12. pdf.

[8] SHEN Z, SU J, Web Service discovery based on behavior signatures. in: Proceedings of International Conference on Service Computing. Washington D.C., USA: IEEE, (2005).

DOI: 10.1109/scc.2005.107

[9] BROGI A, CORFINI S, POPESCU R, et al. Composition-oriented service discovery. In: Proceedings of Software Composition. Berlin, Germany: Springer, (2005).

DOI: 10.1007/11550679_2

[10] BE NATALLAH B, HACID M S, LE GER A, et al. International Journal on Very Large Data Bases, Vol. 14 (2005), pp.84-96.

[11] KIFER M, LARA R, POLLERES A, A logical framework for Web service discovery in: Proceedings of ISWC Workshop on Semantic Web Services, N.Y., USA: ACM, (2004).

[12] WU Jian, WU Zhaohui, LI Ying, et al. Chinese Journal of Computers, Vol. 28 (2005), pp.595-602. (in chinese).

[13] DENG Shuiguang, YIN Jianwei, LI Yin g, et al. Chinese Journal of Computers, Vol. 31(2008), pp.1364-1375. (in chinese).

[14] ANDREA Z, GEORGE S, UML-based service discovery framework. In: Proceedings of International Conference on Service Oriented Computing. Berlin, Germany: Springer, (2006).