{"title":"有限协作环境下视图维护的增量提取优化","authors":"Z. Lu, Haijun Liu, P. Hyland","doi":"10.4108/ICST.COLLABORATECOM.2012.250533","DOIUrl":null,"url":null,"abstract":"This work considers maintaining materialized view in a distributed environment where the collaboration from highly autonomous operational database management systems is limited to granting read only access on a set of selected relational tables. In addition, due to possibly large volumes of remote source data involved in the view maintenance process, and consequently enormous overhead associated with data transfer, efficiency issues must been taken into the consideration. This proposal is based on the observation that usually, there is a large amount of static data in relational tables. It is proposed to use some statistical techniques at data warehouse system to helps us understand the essential characteristics of raw data at remote sites. Based on the characteristics of raw data, some optimization techniques are presented.","PeriodicalId":225191,"journal":{"name":"8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Delta extraction optimization for view maintenance in a limited collaborative environment\",\"authors\":\"Z. Lu, Haijun Liu, P. Hyland\",\"doi\":\"10.4108/ICST.COLLABORATECOM.2012.250533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work considers maintaining materialized view in a distributed environment where the collaboration from highly autonomous operational database management systems is limited to granting read only access on a set of selected relational tables. In addition, due to possibly large volumes of remote source data involved in the view maintenance process, and consequently enormous overhead associated with data transfer, efficiency issues must been taken into the consideration. This proposal is based on the observation that usually, there is a large amount of static data in relational tables. It is proposed to use some statistical techniques at data warehouse system to helps us understand the essential characteristics of raw data at remote sites. Based on the characteristics of raw data, some optimization techniques are presented.\",\"PeriodicalId\":225191,\"journal\":{\"name\":\"8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/ICST.COLLABORATECOM.2012.250533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/ICST.COLLABORATECOM.2012.250533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Delta extraction optimization for view maintenance in a limited collaborative environment
This work considers maintaining materialized view in a distributed environment where the collaboration from highly autonomous operational database management systems is limited to granting read only access on a set of selected relational tables. In addition, due to possibly large volumes of remote source data involved in the view maintenance process, and consequently enormous overhead associated with data transfer, efficiency issues must been taken into the consideration. This proposal is based on the observation that usually, there is a large amount of static data in relational tables. It is proposed to use some statistical techniques at data warehouse system to helps us understand the essential characteristics of raw data at remote sites. Based on the characteristics of raw data, some optimization techniques are presented.