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, centralizedprocessing is no longer feasible f...
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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, centralizedprocessing is no longer feasible for XML queryprocessing. To address this issue, we propose a technique that improves XML queryprocessing through query workload distribution. An effective distributed XML queryprocessing 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 centralizedquery 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 queryprocessing technique to process XML queries robustly. Experimental evaluations showed that the proposed distributed query processor superseded the performance of centralizedquery processor.
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