{"title":"StreamCorder:在科学数据库中快速试错分析","authors":"E. Stolte, G. Alonso","doi":"10.1109/ICDE.2002.994769","DOIUrl":null,"url":null,"abstract":"We have implemented a client/server system for fast trial-and-error analysis: the StreamCorder. The server streams wavelet-encoded views to the clients, where they are cached, decoded and processed. Low-quality decoding is beneficial for slow network connections. Low-resolution decoding greatly accelerates decoding and analysis. Depending on the system resources, cached data and analysis requirements, the user may alter the minimum analysis quality at any time.","PeriodicalId":191529,"journal":{"name":"Proceedings 18th International Conference on Data Engineering","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"StreamCorder: fast trial-and-error analysis in scientific databases\",\"authors\":\"E. Stolte, G. Alonso\",\"doi\":\"10.1109/ICDE.2002.994769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have implemented a client/server system for fast trial-and-error analysis: the StreamCorder. The server streams wavelet-encoded views to the clients, where they are cached, decoded and processed. Low-quality decoding is beneficial for slow network connections. Low-resolution decoding greatly accelerates decoding and analysis. Depending on the system resources, cached data and analysis requirements, the user may alter the minimum analysis quality at any time.\",\"PeriodicalId\":191529,\"journal\":{\"name\":\"Proceedings 18th International Conference on Data Engineering\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 18th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2002.994769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 18th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2002.994769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
StreamCorder: fast trial-and-error analysis in scientific databases
We have implemented a client/server system for fast trial-and-error analysis: the StreamCorder. The server streams wavelet-encoded views to the clients, where they are cached, decoded and processed. Low-quality decoding is beneficial for slow network connections. Low-resolution decoding greatly accelerates decoding and analysis. Depending on the system resources, cached data and analysis requirements, the user may alter the minimum analysis quality at any time.
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