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 Research on Parallel Big Data Migration Strategy Based on Job Segmentation

  

  1. College of Information Engineering, Yangzhou University, Yangzhou 225127, China
  • Received:2014-08-06 Online:2014-11-27 Published:2014-12-10

Abstract: Theres no doubt that Big Data has become a research focus recently. Not only because Big Data has posed great challenges to issues such as data storage, management and retrieval, but due to the fact that it draws higher demand in the study of storage hardware, storage strategy and retrieval method. In view of the processing problem of Big Data, the study of parallel data migration strategy based on job segmentation has been put forward. Moreover, a data migration platform has been developed under the guidance of the study. Just as results of the experiment show, this platform not only gains an edge in data access speed and system memory compared with traditional data migration methods, but also has achieved desirable effects in the application of a bank balance verification system.

Key words: Big Data, storage strategy, data migration, job segmentation, parallel computing