{"title":"成本驱动的分布式数据源上的通用连接视图维护","authors":"B. Liu, Elke A. Rundensteiner","doi":"10.1109/ICDE.2005.40","DOIUrl":null,"url":null,"abstract":"Maintaining materialized views that have join conditions between arbitrary pairs of data sources possibly with cycles is critical for many applications. In this paper, we model view maintenance as the process of answering a set of inter-related distributed multi-join queries. We illustrate two strategies for maintaining as well as optimizing such general join views. We propose a cost-driven view maintenance framework which generates optimized maintenance plans tuned to a given environmental settings. This framework can significantly improve view maintenance performance especially in a distributed environment.","PeriodicalId":297231,"journal":{"name":"21st International Conference on Data Engineering (ICDE'05)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Cost-driven general join view maintenance over distributed data sources\",\"authors\":\"B. Liu, Elke A. Rundensteiner\",\"doi\":\"10.1109/ICDE.2005.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Maintaining materialized views that have join conditions between arbitrary pairs of data sources possibly with cycles is critical for many applications. In this paper, we model view maintenance as the process of answering a set of inter-related distributed multi-join queries. We illustrate two strategies for maintaining as well as optimizing such general join views. We propose a cost-driven view maintenance framework which generates optimized maintenance plans tuned to a given environmental settings. This framework can significantly improve view maintenance performance especially in a distributed environment.\",\"PeriodicalId\":297231,\"journal\":{\"name\":\"21st International Conference on Data Engineering (ICDE'05)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"21st International Conference on Data Engineering (ICDE'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2005.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"21st International Conference on Data Engineering (ICDE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2005.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cost-driven general join view maintenance over distributed data sources
Maintaining materialized views that have join conditions between arbitrary pairs of data sources possibly with cycles is critical for many applications. In this paper, we model view maintenance as the process of answering a set of inter-related distributed multi-join queries. We illustrate two strategies for maintaining as well as optimizing such general join views. We propose a cost-driven view maintenance framework which generates optimized maintenance plans tuned to a given environmental settings. This framework can significantly improve view maintenance performance especially in a distributed environment.