Journal of System Simulation
Abstract
Abstract: With the rapid development of computer and network technologies, the variety and quantity of Web Services on the network is also increasing. How to find the requiring services quickly and accurately becomes increasingly important. In order to solve the problems with traditional Web Services architecture, such as poor scalability and lacking of semantic information, a scalable semantic Web Services architecture was proposed, the architecture could meet the requirements to construct distributed and large-scale systems based on SOA for modern enterprises. Service publication and deletion algorithms of the architecture were studied, and dynamic adjustment algorithms of the architecture was studied which were led by service publication and deletion, thus making full use of the storage resource and guaranteeing the efficiency of service discovery. The service discovery process of the architecture was described, and service discovery algorithm based on OWL-S was studied. Simulation experiments were used to validate the proposed method.
Recommended Citation
Niu, Xiaoxing; Wang, Zhixue; and Yu, Minggang
(2020)
"Scalable Semantic Web Services Architecture Design and Service Discovery,"
Journal of System Simulation: Vol. 28:
Iss.
11, Article 27.
DOI: 10.16182/j.issn1004731x.joss.201611027
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss11/27
First Page
2841
Revised Date
2015-05-21
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201611027
Last Page
2851
CLC
TP393
Recommended Citation
Niu Xiaoxing, Wang Zhixue, Yu Minggang. Scalable Semantic Web Services Architecture Design and Service Discovery[J]. Journal of System Simulation, 2016, 28(11): 2841-2851.
DOI
10.16182/j.issn1004731x.joss.201611027
Included in
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