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.
CITATION STYLE
Zhang, H., & Wu, Z. (2015). The research on optimizing deployment strategy for aviation SWIM application servers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9227, pp. 598–606). Springer Verlag. https://doi.org/10.1007/978-3-319-22053-6_62
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