{"title":"Effect of data compression hardware on the performance of a relational database machine","authors":"N. Ranganathan, H. Srinidhi","doi":"10.1109/PARBSE.1990.77134","DOIUrl":null,"url":null,"abstract":"The authors propose the use of data compression hardware to improve the performance of a relational database machine. They derive detailed analytical models of a specific relational database machine DELTA and report simulation results that quantify the improvement in its system performance due to compression hardware. The main contribution of the present work is the strategy of using compression hardware in the design of database machines to overcome the I/O bottleneck, thereby increasing their performance. The authors suggest the use of on-the-fly hardware to compress and decompress the data so that the time overhead due to compression is negligible.<<ETX>>","PeriodicalId":389644,"journal":{"name":"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PARBSE.1990.77134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The authors propose the use of data compression hardware to improve the performance of a relational database machine. They derive detailed analytical models of a specific relational database machine DELTA and report simulation results that quantify the improvement in its system performance due to compression hardware. The main contribution of the present work is the strategy of using compression hardware in the design of database machines to overcome the I/O bottleneck, thereby increasing their performance. The authors suggest the use of on-the-fly hardware to compress and decompress the data so that the time overhead due to compression is negligible.<>