{"title":"使用可适应的多线程预取来加速数据库客户端","authors":"Nils Knafla","doi":"10.1109/HPDC.1997.622367","DOIUrl":null,"url":null,"abstract":"In many client/server object database applications, performance is limited by the delay in transferring pages from the server to the client. We present a prefetching technique that can avoid this delay, especially where there are several database servers. Part of the novelty of this approach lies in the way that multithreading on the client workstation is exploited, in particular for activities such as prefetching and flushing dirty pages to the server. Using our own complex object benchmark we analyze the performance of the prefetching technique with multiple clients, multiple servers and different buffer pool sizes.","PeriodicalId":243171,"journal":{"name":"Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Speed up your database client with adaptable multithreaded prefetching\",\"authors\":\"Nils Knafla\",\"doi\":\"10.1109/HPDC.1997.622367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In many client/server object database applications, performance is limited by the delay in transferring pages from the server to the client. We present a prefetching technique that can avoid this delay, especially where there are several database servers. Part of the novelty of this approach lies in the way that multithreading on the client workstation is exploited, in particular for activities such as prefetching and flushing dirty pages to the server. Using our own complex object benchmark we analyze the performance of the prefetching technique with multiple clients, multiple servers and different buffer pool sizes.\",\"PeriodicalId\":243171,\"journal\":{\"name\":\"Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPDC.1997.622367\",\"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. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPDC.1997.622367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Speed up your database client with adaptable multithreaded prefetching
In many client/server object database applications, performance is limited by the delay in transferring pages from the server to the client. We present a prefetching technique that can avoid this delay, especially where there are several database servers. Part of the novelty of this approach lies in the way that multithreading on the client workstation is exploited, in particular for activities such as prefetching and flushing dirty pages to the server. Using our own complex object benchmark we analyze the performance of the prefetching technique with multiple clients, multiple servers and different buffer pool sizes.