{"title":"基于B-link树的分布式数据平衡字典","authors":"T. Johnson, A. Colbrook","doi":"10.1109/IPPS.1992.223026","DOIUrl":null,"url":null,"abstract":"Many concurrent dictionary data structures have been proposed, but usually in the context of shared memory multiprocessors. The paper presents an algorithm for a concurrent distributed B-tree that can be implemented on message passing parallel computers. This distributed B-tree (the dB-tree) replicates the interior nodes in order to improve parallelism and reduce message passing. It is shown how the dB-tree algorithm can be used to build an efficient, highly parallel, data-balanced distributed dictionary, the dE-tree.<<ETX>>","PeriodicalId":340070,"journal":{"name":"Proceedings Sixth International Parallel Processing Symposium","volume":"475 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"A distributed data-balanced dictionary based on the B-link tree\",\"authors\":\"T. Johnson, A. Colbrook\",\"doi\":\"10.1109/IPPS.1992.223026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many concurrent dictionary data structures have been proposed, but usually in the context of shared memory multiprocessors. The paper presents an algorithm for a concurrent distributed B-tree that can be implemented on message passing parallel computers. This distributed B-tree (the dB-tree) replicates the interior nodes in order to improve parallelism and reduce message passing. It is shown how the dB-tree algorithm can be used to build an efficient, highly parallel, data-balanced distributed dictionary, the dE-tree.<<ETX>>\",\"PeriodicalId\":340070,\"journal\":{\"name\":\"Proceedings Sixth International Parallel Processing Symposium\",\"volume\":\"475 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Sixth International Parallel Processing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPPS.1992.223026\",\"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 Sixth International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1992.223026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A distributed data-balanced dictionary based on the B-link tree
Many concurrent dictionary data structures have been proposed, but usually in the context of shared memory multiprocessors. The paper presents an algorithm for a concurrent distributed B-tree that can be implemented on message passing parallel computers. This distributed B-tree (the dB-tree) replicates the interior nodes in order to improve parallelism and reduce message passing. It is shown how the dB-tree algorithm can be used to build an efficient, highly parallel, data-balanced distributed dictionary, the dE-tree.<>
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