1. What contributions have the authors mentioned in the paper "Efficient query processing for large xml data in distributed environments" ?
The authors propose an efficient distributed query processing method for large XML data by partitioning and distributing XML data to multiple computation nodes.. There are several steps involved in this method ; however, the authors focused particularly on XML data partitioning and dynamic relocation of partitioned XML data in their research.. From their experiments, the authors found that there is a performance advantage in their approach for executing distributed query processing of large XML data.
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2. What are the future works in "Efficient query processing for large xml data in distributed environments" ?
In future work, the authors plan to explore a method to automatically determine the schedule of data relocation on QPs.. The authors believe that this extension would be able to obtain better performance than the current implementation.
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3. What is the main consideration when constructing a distributed XML data processing system?
In order to achieve an efficient query processing for large XML data, the XML data must be partitioned evenly based upon data partition size.
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4. What is the key idea of these systems?
The key idea of these systems is based on a structure summary called Repository Guide, which is similar to Strong Data Guides, in order to decompose XML data.
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