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GeoFlink : A Distributed and Scalable Framework for the ..:
, In:
Proceedings of the 29th ACM International Conference on Information & Knowledge Management
,
Shaikh, Salman Ahmed
;
Mariam, Komal
;
Kitagawa, Hiroyuki
. - p. 3149-3156 , 2020
Link:
https://dl.acm.org/doi/10.1145/3340531.3412761
RT T1 <cTitle>Proceedings of the 29th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>GeoFlink : A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3412761&Exemplar=1&LAN=DE A1 Shaikh, Salman Ahmed A1 Mariam, Komal A1 Kitagawa, Hiroyuki A1 Kim, Kyoung-Sook PB ACM YR 2020 K1 distributed K1 geoflink K1 scalable K1 spatial data K1 stream processing K1 Computing methodologies K1 Distributed computing methodologies K1 Parallel computing methodologies K1 Parallel algorithms K1 Vector / streaming algorithms K1 MapReduce algorithms SP 3149 OP 3156 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3340531.3412761 DO https://dl.acm.org/doi/10.1145/3340531.3412761 SF ELIB - SuUB Bremen
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