{"title":"数据库设计中的动态分析","authors":"G. Balbo, G. Demo, A. Leva, P. Giolito","doi":"10.1109/ICDE.1984.7271277","DOIUrl":null,"url":null,"abstract":"A consistent specification of quantitative processing characteristics is of crucial importance in order to obtain an efficient logical and physical database design. In this paper we propose a flow analysis of a Petri net representation of the interaction among operations within an organization function. The result of this analysis is the automa tic derivation of the operation activation frequencies. The project environment to which this analysis is relevant is also described.","PeriodicalId":365511,"journal":{"name":"1984 IEEE First International Conference on Data Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Dynamics analysis in database design\",\"authors\":\"G. Balbo, G. Demo, A. Leva, P. Giolito\",\"doi\":\"10.1109/ICDE.1984.7271277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A consistent specification of quantitative processing characteristics is of crucial importance in order to obtain an efficient logical and physical database design. In this paper we propose a flow analysis of a Petri net representation of the interaction among operations within an organization function. The result of this analysis is the automa tic derivation of the operation activation frequencies. The project environment to which this analysis is relevant is also described.\",\"PeriodicalId\":365511,\"journal\":{\"name\":\"1984 IEEE First International Conference on Data Engineering\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1984 IEEE First International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1984.7271277\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1984 IEEE First International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1984.7271277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A consistent specification of quantitative processing characteristics is of crucial importance in order to obtain an efficient logical and physical database design. In this paper we propose a flow analysis of a Petri net representation of the interaction among operations within an organization function. The result of this analysis is the automa tic derivation of the operation activation frequencies. The project environment to which this analysis is relevant is also described.
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