P. Zezula, P. Savino, F. Rabitti, Giuseppe Amato, P. Ciaccia
{"title":"用并行资源处理m树","authors":"P. Zezula, P. Savino, F. Rabitti, Giuseppe Amato, P. Ciaccia","doi":"10.1109/RIDE.1998.658289","DOIUrl":null,"url":null,"abstract":"The problem of the design and implementation of parallel metric tree indexes, called M-trees, is elaborated. Four different object declustering techniques are proposed and tested in order to get a sufficient evidence needed for specifying the pros and cons of their application. In general, the obtained I/O speedup and scaleup levels are high. A method for dealing with the CPU parallelism is also proposed and its speedup and scaleup experimentally tested.","PeriodicalId":199347,"journal":{"name":"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Processing M-trees with parallel resources\",\"authors\":\"P. Zezula, P. Savino, F. Rabitti, Giuseppe Amato, P. Ciaccia\",\"doi\":\"10.1109/RIDE.1998.658289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of the design and implementation of parallel metric tree indexes, called M-trees, is elaborated. Four different object declustering techniques are proposed and tested in order to get a sufficient evidence needed for specifying the pros and cons of their application. In general, the obtained I/O speedup and scaleup levels are high. A method for dealing with the CPU parallelism is also proposed and its speedup and scaleup experimentally tested.\",\"PeriodicalId\":199347,\"journal\":{\"name\":\"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIDE.1998.658289\",\"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 Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIDE.1998.658289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The problem of the design and implementation of parallel metric tree indexes, called M-trees, is elaborated. Four different object declustering techniques are proposed and tested in order to get a sufficient evidence needed for specifying the pros and cons of their application. In general, the obtained I/O speedup and scaleup levels are high. A method for dealing with the CPU parallelism is also proposed and its speedup and scaleup experimentally tested.