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Skyline queries are capable of retrieving interesting points from a large data set according to multiple criteria. Most work on skyline queries so far has assumed a centralized storage, whereas in practice relevant data are often distributed among geographically scattered sites. In this work, we tackle constrained skyline queries in large-scale distributed environments without the assumption of any overlay structures, and propose a novel algorithm named PaDSkyline (Parallel Distributed Skylinedoi:10.1109/icde.2008.4497463 dblp:conf/icde/CuiLXCDZ08 fatcat:74bhu6b2hrbyfiaxsztcvxarzm