{"title":"XML查询处理的性能和可伸缩性","authors":"G. Hains, M. Alrammal","doi":"10.1109/CISIS.2012.18","DOIUrl":null,"url":null,"abstract":"This paper discusses basic issues about the performance of semi-structured query processing in very large data sets. It is based on recent algorithm-engineering work, on the state of the art in performance management for XML query processing and on theoretical studies about the complexity structure of the querying problem. Its main conclusions provide a concrete view on the interaction between terabyte scale XML data, query complexity and current or future computer architectures. To provide a concrete and synthetic view of this diverse body of knowledge, the presentation follows a fictional use case whose characters face query problems of varying complexity that are set in multiple contexts and analyzed today before being projected to 2020 and 2030.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance and Scalability of XML Query Processing\",\"authors\":\"G. Hains, M. Alrammal\",\"doi\":\"10.1109/CISIS.2012.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses basic issues about the performance of semi-structured query processing in very large data sets. It is based on recent algorithm-engineering work, on the state of the art in performance management for XML query processing and on theoretical studies about the complexity structure of the querying problem. Its main conclusions provide a concrete view on the interaction between terabyte scale XML data, query complexity and current or future computer architectures. To provide a concrete and synthetic view of this diverse body of knowledge, the presentation follows a fictional use case whose characters face query problems of varying complexity that are set in multiple contexts and analyzed today before being projected to 2020 and 2030.\",\"PeriodicalId\":158978,\"journal\":{\"name\":\"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISIS.2012.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIS.2012.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance and Scalability of XML Query Processing
This paper discusses basic issues about the performance of semi-structured query processing in very large data sets. It is based on recent algorithm-engineering work, on the state of the art in performance management for XML query processing and on theoretical studies about the complexity structure of the querying problem. Its main conclusions provide a concrete view on the interaction between terabyte scale XML data, query complexity and current or future computer architectures. To provide a concrete and synthetic view of this diverse body of knowledge, the presentation follows a fictional use case whose characters face query problems of varying complexity that are set in multiple contexts and analyzed today before being projected to 2020 and 2030.