Improved Centralized XML Query Processing Using Distributed Query Workload

eXtensible Markup Language (XML) is used widely to transfer data among a wide variety of systems. Due to an increase in query workloads and management of larger datasets, centralized processing is no longer feasible for XML query processing. To address this issue, we propose a technique that improve...

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Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.29127-29142
Main Authors: Subramaniam, Samini, Haw, Su-Cheng, Soon, Lay-Ki
Format: Article
Language:English
Subjects:
centralized query processing
Distributed query processing
Document markup languages
Extensible Markup Language
Indexing
Merging
Microprocessors
Program processors
Pruning
Query languages
Query processing
Servers
Vegetation
Workload
Workloads
XML
XML database
XML indexing
XML labeling
XML query processing
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Summary:eXtensible Markup Language (XML) is used widely to transfer data among a wide variety of systems. Due to an increase in query workloads and management of larger datasets, centralized processing is no longer feasible for XML query processing. To address this issue, we propose a technique that improves XML query processing through query workload distribution. An effective distributed XML query processing can be affected by several criteria such as indexing, fragmentation, distribution strategy, and well as the query handling in the distributed servers. However, we believe that an efficient labeling mechanism and an inexpensive centralized query processors or a pruning method at dedicated servers contribute greatly to the overall performance of a distributed query processor. In this paper, we present an effective centralized pruning technique that is adopted into our proposed distributed XML query processing technique to process XML queries robustly. Experimental evaluations showed that the proposed distributed query processor superseded the performance of centralized query processor.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3058383