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Title:
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ADAPTIVE STORAGE MODEL FOR XML IN OBJECT-RELATIONAL DATABASES |
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Author(s):
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Michael Kamel , Khaled Nagi , Nagwa El-makky |
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ISBN:
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ISSN: 1646-3692 |
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Editors:
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Pedro Isaías and Marcin Paprzycki |
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Year:
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2009 |
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Edition:
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V IV,2 |
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Keywords:
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XML storage models, data shredding techniques, ORDBMS, performance analysis. |
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Type:
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Journal Paper |
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First Page:
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41 |
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Last Page:
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58 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Object relational database management systems (ORDBMS) are becoming more popular in storing and
retrieving XML than native XML DBMS. In most ORDBMS, XML is stored as CLOB inside the
relation. Efficient XML parsers and indexing techniques are used to retrieve the desired XML nodes.
However, less attention is given to XML updates queries. With the upcoming standardization of XML
updates queries, the current implementation of the lock granularity imposes a great limitation on the
concurrency of parallel transactions. This motivated several experimental ORDBMS to shred the XML
nodes across internal relations. This approach has also several drawbacks. In this paper, we propose an
adaptive technique for selective shredding. It is based on existing database engines and takes the changes
in the workload pattern into consideration. We analyze the performance of our approach and compare it
to the CLOB and the complete shredding approaches. |
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