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Scalable Distributed Query and Update Service Implementations for XML Document Elements
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| Title |
Scalable Distributed Query and Update Service Implementations for XML Document Elements |
| Author(s) |
T. Grabs, K. Böhm, H.-J. Schek |
| Type |
toappear |
| Booktitle |
Proceedings of the Eleventh International Workshop on Research Issues in Data Engineering: Document Management for Data Intensive Business and Scientific Applications Heidelberg, Germany |
| Organization |
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| Month |
April 1-2
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| Year |
2001 |
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Abstract
Materialization and indexing of XML views is an important issue, and a
number of 'XML-to-database' mappings have been proposed. To build a
scalable system for XML document storage where those views are
up-to-date, we must provide efficient implementations of basic services
for query processing and updates. As a first contribution we define
such services, and show that they support many 'XML-to-database'
mappings. As a second and main contribution, we describe
implementations of such services in a database cluster. We evaluate two
implementations, one based on a two-level logging and isolation
mechanism and one using Windows 2000 COM+ transactions. The main
results are as follows: the first approach scales linearly for updates,
and query response times are interactive. For example, with high
workloads of 100 concurrent clients and 8 cluster components, response
times are 3 seconds on average. The alternative approach is weaker both
regarding query response times (10 seconds on average for the above
scenario) and scalability.
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