{"title":"Research on Cloud Computing Based Data Processing for Financial Terminal Equipment","authors":"Zhou Zhi-zhao","doi":"10.1109/INCOS.2013.110","DOIUrl":null,"url":null,"abstract":"In financial system, distributed terminal equipments generate huge mass of data that containing much valuable information. The integrated analysis of the distributed data combining with traditional information will reveal the potential business value and provide a brand new view. Based on the infrastructure of cloud computing service platform, propose a practical scheme of financial data processing which composing of data acquisition, processing, storage and analysis. Present the key technologies of data loading, migration, MapReduce processing, remote analysis and flashback, and describe the execution of these technologies within cloud computing framework.","PeriodicalId":353706,"journal":{"name":"2013 5th International Conference on Intelligent Networking and Collaborative Systems","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCOS.2013.110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In financial system, distributed terminal equipments generate huge mass of data that containing much valuable information. The integrated analysis of the distributed data combining with traditional information will reveal the potential business value and provide a brand new view. Based on the infrastructure of cloud computing service platform, propose a practical scheme of financial data processing which composing of data acquisition, processing, storage and analysis. Present the key technologies of data loading, migration, MapReduce processing, remote analysis and flashback, and describe the execution of these technologies within cloud computing framework.