Research Article
Research and Implementation of Importing Distributed Cluster Data into Cloud Platform Based on JMS
@INPROCEEDINGS{10.1007/978-3-031-33458-0_6, author={Junyuan Zheng and Hongtao Ni and Min Sun and Xinjian Chen}, title={Research and Implementation of Importing Distributed Cluster Data into Cloud Platform Based on JMS}, proceedings={Tools for Design, Implementation and Verification of Emerging Information Technologies. 17th EAI International Conference, TridentCom 2022, Melbourne, Australia, November 23-25, 2022, Proceedings}, proceedings_a={TRIDENTCOM}, year={2023}, month={6}, keywords={Distributed Cluster Weblogic JMS Cloud Platform Concurrent and Repeated Submission WebService}, doi={10.1007/978-3-031-33458-0_6} }- Junyuan Zheng
Hongtao Ni
Min Sun
Xinjian Chen
Year: 2023
Research and Implementation of Importing Distributed Cluster Data into Cloud Platform Based on JMS
TRIDENTCOM
Springer
DOI: 10.1007/978-3-031-33458-0_6
Abstract
This project researches and implements the problem of concurrent data repeated submission during the integration of distributed cluster system to a cloud platform. In this paper, three different solutions are proposed. Through analysis and comparison, the JMS service provided by Weblogic, which has an automatic failover function, is selected as the final solution to prevent concurrent duplicate data submission. And this solution only takes little code change effort on the existing system. When different users select duplicate records for concurrent submission, the message queue function of the Weblogic JMS service is used to record the records to be submitted. At the same time, the duplicate records are removed to avoid the problem of concurrent duplicate submission. Finally, the records can be imported in to the corresponding cloud platform through WebService technology.
