{"title":"测量数据分布和复制模型对分布式数据库系统性能评估的影响","authors":"R. Mukkamala","doi":"10.1109/ICDE.1989.47257","DOIUrl":null,"url":null,"abstract":"The effect of assumptions about data distribution and replication on the performance measures as well as the computational complexity and accuracy of performance evaluations is investigated. The size of the participating node set of a transaction is chosen as the desired performance measure. Probabilistic analysis is used to evaluate six models. It is concluded that even though some of the data distribution and replication models appear to be simplistic, the results obtained from them are very close to those from complex models.<<ETX>>","PeriodicalId":329505,"journal":{"name":"[1989] Proceedings. Fifth International Conference on Data Engineering","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Measuring the effect of data distribution and replication models on performance evaluation of distributed database systems\",\"authors\":\"R. Mukkamala\",\"doi\":\"10.1109/ICDE.1989.47257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effect of assumptions about data distribution and replication on the performance measures as well as the computational complexity and accuracy of performance evaluations is investigated. The size of the participating node set of a transaction is chosen as the desired performance measure. Probabilistic analysis is used to evaluate six models. It is concluded that even though some of the data distribution and replication models appear to be simplistic, the results obtained from them are very close to those from complex models.<<ETX>>\",\"PeriodicalId\":329505,\"journal\":{\"name\":\"[1989] Proceedings. Fifth International Conference on Data Engineering\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings. Fifth International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1989.47257\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings. Fifth International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1989.47257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring the effect of data distribution and replication models on performance evaluation of distributed database systems
The effect of assumptions about data distribution and replication on the performance measures as well as the computational complexity and accuracy of performance evaluations is investigated. The size of the participating node set of a transaction is chosen as the desired performance measure. Probabilistic analysis is used to evaluate six models. It is concluded that even though some of the data distribution and replication models appear to be simplistic, the results obtained from them are very close to those from complex models.<>
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