Proceedings of the 27th Annual ACM Symposium on Applied Computing
Distributed skyline processing: a trend in database research still going strong
Proceedings of the 15th International Conference on Extending Database Technology
On efficient reverse k-skyband query processing
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
A survey of skyline processing in highly distributed environments
The VLDB Journal — The International Journal on Very Large Data Bases
Daisy: the center for data-intensive systems at Aalborg University
ACM SIGMOD Record
On efficient reverse skyline query processing
Expert Systems with Applications: An International Journal
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The skyline of a multidimensional point set is a subset of interesting points that are not dominated by others. In this paper, we investigate constrained skyline queries in a large-scale unstructured distributed environment, where relevant data are distributed among geographically scattered sites. We first propose a partition algorithm that divides all data sites into incomparable groups such that the skyline computations in all groups can be parallelized without changing the final result. We then develop a novel algorithm framework called PaDSkyline for parallel skyline query processing among partitioned site groups. We also employ intragroup optimization and multifiltering technique to improve the skyline query processes within each group. In particular, multiple (local) skyline points are sent together with the query as filtering points, which help identify unqualified local skyline points early on a data site. In this way, the amount of data to be transmitted via network connections is reduced, and thus, the overall query response time is shortened further. Cost models and heuristics are proposed to guide the selection of a given number of filtering points from a superset. A cost-efficient model is developed to determine how many filtering points to use for a particular data site. The results of an extensive experimental study demonstrate that our proposals are effective and efficient.