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- W2085353965 abstract "According to increasing of various location-based services, distributed data stream processing techniques have been widely studied to provide high scalability and availability. In previous researches, in order to balance the load of distributed nodes, the geographic characteristics of spatial data stream are not considered. For this reason, distributed operations for adjacent spatial regions increases the overall system load. We propose a operation allocation scheme considering the characteristics of spatial operations to effectively processing spatial data stream in distributed computing environments. The proposed method presents the efficient share maximizing approach that preferentially distributes spatial operations sharing the common query regions to the same node in order to separate the adjacent spatial operations on overlapped regions." @default.
- W2085353965 created "2016-06-24" @default.
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- W2085353965 date "2012-06-30" @default.
- W2085353965 modified "2023-09-23" @default.
- W2085353965 title "Spatial Operation Allocation Scheme over Common Query Regions for Distributed Spatial Data Stream Processing" @default.
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- W2085353965 doi "https://doi.org/10.5762/kais.2012.13.6.2713" @default.
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