Abstract
Complex CAE (Computer Aided Engineering) logic in the network can be implemented by combining existing services, but the network environment changes dynamically, and different service instances of the same function have different performances. In this paper, we propose a graph-based efficient service composition method. Using the service discovery method based on the shortest path in the graph, a calculation method of service matching degree is proposed in service selection, which solves the problem of partial matching of service relationships and the dynamics of service instances. Experiments show that the improved algorithm reduces the running time and improves the search efficiency on a dataset for the same size.
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Acknowledgments
This work was supported by National Key Research and Development Project—CAE cloud service platform based on open architecture (2020YFB1709503). This work was supported by the GHfund A (202202014484).
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Tian, Z., Zhang, C., Xiao, J. (2023). A Graph-Based Efficient Service Composition Method for Computer Aided Engineering (CAE). In: Sun, Y., et al. Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2022. Communications in Computer and Information Science, vol 1681. Springer, Singapore. https://doi.org/10.1007/978-981-99-2356-4_32
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DOI: https://doi.org/10.1007/978-981-99-2356-4_32
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