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2010
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Statistics-based parallelization of XPath queries in shared memory systems

10 years 1 days ago
Statistics-based parallelization of XPath queries in shared memory systems
The wide availability of commodity multi-core systems presents an opportunity to address the latency issues that have plaqued XML query processing. However, simply executing multiple XML queries over multiple cores merely addresses the throughput issue: intra-query parallelization is needed to exploit multiple processing cores for better latency. Toward this effort, this paper investigates the parallelization of individual XPath queries over shared-address space multi-core processors. Much previous work on parallelizing XPath in a distributed setting failed to exploit the shared memory parallelism of multi-core systems. We propose a novel, end-to-end parallelization framework that determines the optimal way of parallelizing an XML query. This decision is based on a statistics-based approach that relies both on the query specifics and the data statistics. At each stage of the parallelization process, we evaluate three alternative approaches, namely, data-, query-, and hybridpartition...
Rajesh Bordawekar, Lipyeow Lim, Anastasios Kements
Added 09 Jul 2010
Updated 09 Jul 2010
Type Conference
Year 2010
Where EDBT
Authors Rajesh Bordawekar, Lipyeow Lim, Anastasios Kementsietsidis, Bryant Wei-Lun Kok
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