Abstract
This paper presents a method for dynamically optimizing business application deployment for improving the overall stability of the SOA in Aviation SWIM. The solution analyses Web Service call logs with association rules analysis and deploys business applications, which are in a tight coupling relationship in the chain of synchronously interconnected service components, into one physical system. The aim of this solution is to decrease long-distance calls of Service and to enhance stability of SOA. The association rules analysis improves Apriori Algorithm based on the incidence matrix, and Hadoop cloud computing platform verifies that this algorithm can work out the result faster with better parallelism.
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Acknowledgements
The research work was supported by National Natural Science Foundation of China under Grant No. 61170328&U1333116 and Research Program of Application Foundation and Advanced Technology of Tianjin under Grant No. 12JCZDJC20900.
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© 2015 Springer International Publishing Switzerland
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Zhang, H., Wu, Z. (2015). The Research on Optimizing Deployment Strategy for Aviation SWIM Application Servers. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_62
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DOI: https://doi.org/10.1007/978-3-319-22053-6_62
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