{"title":"企业环境中关系数据库的性能评估","authors":"Cho Fong To, John K. Chan, Jocelyn S. Yu","doi":"10.1109/ICDE.1986.7266280","DOIUrl":null,"url":null,"abstract":"This paper presents a method of testing relational product performance that is specifically oriented to a corporate environment with very large volume data handling needs. The methodology is detailed and the configuration of the assessment environment is presented. The actual implementation of the assessment, in both VM and MVS, is discussed. Preliminary results are given. Finally, the benefits of conducting such a product assessment for this specific corporate environment are presented.","PeriodicalId":415748,"journal":{"name":"1986 IEEE Second International Conference on Data Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1986-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance evaluation of relational databases in a corporate environment\",\"authors\":\"Cho Fong To, John K. Chan, Jocelyn S. Yu\",\"doi\":\"10.1109/ICDE.1986.7266280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method of testing relational product performance that is specifically oriented to a corporate environment with very large volume data handling needs. The methodology is detailed and the configuration of the assessment environment is presented. The actual implementation of the assessment, in both VM and MVS, is discussed. Preliminary results are given. Finally, the benefits of conducting such a product assessment for this specific corporate environment are presented.\",\"PeriodicalId\":415748,\"journal\":{\"name\":\"1986 IEEE Second International Conference on Data Engineering\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-02-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1986 IEEE Second International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1986.7266280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1986 IEEE Second International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1986.7266280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance evaluation of relational databases in a corporate environment
This paper presents a method of testing relational product performance that is specifically oriented to a corporate environment with very large volume data handling needs. The methodology is detailed and the configuration of the assessment environment is presented. The actual implementation of the assessment, in both VM and MVS, is discussed. Preliminary results are given. Finally, the benefits of conducting such a product assessment for this specific corporate environment are presented.
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