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Data generation increases at highly dynamic rates, making its storage, processing and update costs at one central location excessive. The P2P paradigm emerges as a powerful model for organizing and searching large data repositories distributed over independent sources. Advanced query operators, such as skyline queries, are necessary in order to help users handle the huge amount of available data. A skyline query retrieves the set of non-dominated data points in a multi-dimensional dataset. Skyline query processing in P2P networks poses inherent challenges and demands non-traditional techniques, due to the distribution of content and the lack of global knowledge.
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