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Using Statistical Information for Efficient Design and Evaluation of Hybrid XML Storage
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, Database and information techniques.
2011 (English)In: International Journal On Advances in Software, ISSN 1942-2628, E-ISSN 1942-2628, Vol. 4, no 3-4, 389-400 p.Article in journal (Refereed) Published
Abstract [en]

Modern relational database management systems provide hybrid XML storage, combining relational and native technologies. Hybrid storage offers many design alternatives for XML data. In this paper we explore how to aid the user in effective design of hybrid storage. In particular we investigate how the XML schema and statistical information about the data can support the storage design process. In our previous work, we presented our tool HShreX that uses statistical information about a data set to enable fast evaluation of alternative hybrid design solutions. In this paper, we extend this work by presenting more details about the tool and results of an extended evaluation. In particular, this paper gives a detailed presentation on how the tool aids in the storage design and evaluation process.

Place, publisher, year, edition, pages
IARIA , 2011. Vol. 4, no 3-4, 389-400 p.
Keyword [en]
XML, Hybrid XML management, indexing, storage design
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-102937OAI: oai:DiVA.org:liu-102937DiVA: diva2:684687
Funder
Swedish Research Council
Available from: 2014-01-08 Created: 2014-01-08 Last updated: 2017-12-06

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http://www.thinkmind.org/index.php?view=article&articleid=soft_v4_n34_2011_12

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Strömbäck, LenaIvanova, ValentinaHall, David

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