{"title":"对共享内存并行数据库系统DBS3进行原型设计","authors":"B. Bergsten, M. Couprie, P. Valduriez","doi":"10.1109/PDIS.1991.183107","DOIUrl":null,"url":null,"abstract":"DBS3 is a database system with extended relational capabilities designed for a shared-memory multiprocessor. This paper presents the design choices, architecture and performance evaluation of the current DBS3 prototype. The major contributions of DBS3 are: a parallel dataflow execution model based on data declustering, the compile-time optimization of both independent and pipelined parallelism, and the exploitation of shared-memory for efficient concurrent execution. The current DBS3 prototype runs on a shared-memory, commercially available multiprocessor. The initial performance experiments for single-user queries are promising and show excellent response times and scalability.<<ETX>>","PeriodicalId":210800,"journal":{"name":"[1991] Proceedings of the First International Conference on Parallel and Distributed Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"63","resultStr":"{\"title\":\"Prototyping DBS3, a shared-memory parallel database system\",\"authors\":\"B. Bergsten, M. Couprie, P. Valduriez\",\"doi\":\"10.1109/PDIS.1991.183107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"DBS3 is a database system with extended relational capabilities designed for a shared-memory multiprocessor. This paper presents the design choices, architecture and performance evaluation of the current DBS3 prototype. The major contributions of DBS3 are: a parallel dataflow execution model based on data declustering, the compile-time optimization of both independent and pipelined parallelism, and the exploitation of shared-memory for efficient concurrent execution. The current DBS3 prototype runs on a shared-memory, commercially available multiprocessor. The initial performance experiments for single-user queries are promising and show excellent response times and scalability.<<ETX>>\",\"PeriodicalId\":210800,\"journal\":{\"name\":\"[1991] Proceedings of the First International Conference on Parallel and Distributed Information Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"63\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Proceedings of the First International Conference on Parallel and Distributed Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDIS.1991.183107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings of the First International Conference on Parallel and Distributed Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDIS.1991.183107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prototyping DBS3, a shared-memory parallel database system
DBS3 is a database system with extended relational capabilities designed for a shared-memory multiprocessor. This paper presents the design choices, architecture and performance evaluation of the current DBS3 prototype. The major contributions of DBS3 are: a parallel dataflow execution model based on data declustering, the compile-time optimization of both independent and pipelined parallelism, and the exploitation of shared-memory for efficient concurrent execution. The current DBS3 prototype runs on a shared-memory, commercially available multiprocessor. The initial performance experiments for single-user queries are promising and show excellent response times and scalability.<>