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Weighted spatial skyline queries with distributed dominance tests

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Abstract

In this paper, we study the retrieval of desired or relevant points of interest, a set of spatial skyline points, related to a set of query points to establish distance restrictions. Note that each point of interest has different importance, assigned to each of them as weight, and the weighted Euclidean distance is used. In order to efficiently handle the weighted spatial skyline queries, this research presents a novel MapReduce-based solution for the first time. The proposed method prevents the bottleneck of centrally finding the global skyline from the local skylines and reduces the dominance test by performing the necessary dominance tests in parallel. Finally, the experimental results show that the proposed method obtains significant performance improvement.

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Data availability

The datasets generated during and/or analysed during the current study are not publicly available but are available from the corresponding author on reasonable request.

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  1. Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Elaheh Gavagsaz

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  1. Elaheh Gavagsaz
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Correspondence to Elaheh Gavagsaz.

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Gavagsaz, E. Weighted spatial skyline queries with distributed dominance tests. Cluster Comput 25, 3249–3264 (2022). https://doi.org/10.1007/s10586-022-03559-6

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  • DOI: https://doi.org/10.1007/s10586-022-03559-6

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