Πλοήγηση ανά Θέμα "Big data applications"
Αποτελέσματα 1-4 από 4
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Feature models for big data applications: Modeling big data applications by applying feature models
(2018)Modeling Big Data Applications is a key research topic for designing, analyzing, programming and deploying data-intensive applications, with high value and long-term trade-offs. The need for unified perspectives, architectures ... -
An Improved GPU-based Algorithmfor Processing the k Nearest Neighbor Query
(2020)The k Nearest Neighbor (k-NN) query is a common spatial query that appears in several big data applications. We propose and implement a new GPU-based algorithm for the k-NN query, which improves our previous Symmetric ... -
On Improving Constrained Single and Group Operator Placement Using Evictions in Big Data Environments
(2016)With an ever increasing amount of data generated by scientific experiments, social networks and mobile as well as wireless sensor networks, reducing resource consumption by big data applications becomes of paramount ... -
A Partitioning GPU-based Algorithm for Processing the k Nearest-Neighbor Query
(2020)The k Nearest-Neighbor (k-NN) query is a common spatial query that appears in several big data applications. Typically, GPU devices have much larger numbers of processing cores than CPUs and faster device memory than main ...