{"title":"基于缓存敏感B+树的节点压缩技术","authors":"Rize Jin, Tae-Sun Chung","doi":"10.1109/ICIS.2010.9","DOIUrl":null,"url":null,"abstract":"Cache-conscious indices have been researched for a decade. These index structures can enhance data locality and reduce cache misses. Cache-Sensitive B+-tree (CSB+-tree) is a state-of-the-art, high performance index tree for main-memory database systems. However, in the worst case, the space utilization of CSB+-tree can fall to 25%. The main contribution of this paper is to improve space efficiency of CSB+-tree by using compression mechanisms. We have conducted experimental studies. Results show that the compressed CSB+-trees can yield significant space savings with additional benefits for search and delete operations by utilizing the superiority of modern hardware.","PeriodicalId":338038,"journal":{"name":"2010 IEEE/ACIS 9th International Conference on Computer and Information Science","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Node Compression Techniques Based on Cache-Sensitive B+-Tree\",\"authors\":\"Rize Jin, Tae-Sun Chung\",\"doi\":\"10.1109/ICIS.2010.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cache-conscious indices have been researched for a decade. These index structures can enhance data locality and reduce cache misses. Cache-Sensitive B+-tree (CSB+-tree) is a state-of-the-art, high performance index tree for main-memory database systems. However, in the worst case, the space utilization of CSB+-tree can fall to 25%. The main contribution of this paper is to improve space efficiency of CSB+-tree by using compression mechanisms. We have conducted experimental studies. Results show that the compressed CSB+-trees can yield significant space savings with additional benefits for search and delete operations by utilizing the superiority of modern hardware.\",\"PeriodicalId\":338038,\"journal\":{\"name\":\"2010 IEEE/ACIS 9th International Conference on Computer and Information Science\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE/ACIS 9th International Conference on Computer and Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2010.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/ACIS 9th International Conference on Computer and Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2010.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Node Compression Techniques Based on Cache-Sensitive B+-Tree
Cache-conscious indices have been researched for a decade. These index structures can enhance data locality and reduce cache misses. Cache-Sensitive B+-tree (CSB+-tree) is a state-of-the-art, high performance index tree for main-memory database systems. However, in the worst case, the space utilization of CSB+-tree can fall to 25%. The main contribution of this paper is to improve space efficiency of CSB+-tree by using compression mechanisms. We have conducted experimental studies. Results show that the compressed CSB+-trees can yield significant space savings with additional benefits for search and delete operations by utilizing the superiority of modern hardware.