[PDF][PDF] Big data frameworks: A comparative study
Recently, increasingly large amounts of data are generated from a variety of sources.
Existing data processing technologies are not suitable to cope with the huge amounts of …
Existing data processing technologies are not suitable to cope with the huge amounts of …
A platform of scientific workflows for orchestration of parallel components in a cloud of high performance computing applications
J de Carvalho Silva, FH de Carvalho Junior - Brazilian Symposium on …, 2016 - Springer
HPC Shelf is a proposal of a cloud computing platform for development, deployment and
execution of component-based HPC applications with large-scale parallel processing …
execution of component-based HPC applications with large-scale parallel processing …
Distributed RDFS Rules Reasoning for Large-Scaled RDF Graphs Using Spark
R Li, Q Zhang, H Wang, G Wang - 2016 9th International …, 2016 - ieeexplore.ieee.org
Scalable processing on large-scaled RDF graphs becomes a critical issue with the
explosion of semantic web technologies. Most of the existing distributed RDF querying and …
explosion of semantic web technologies. Most of the existing distributed RDF querying and …
[PDF][PDF] Using mapreduce for efficient parallel processing of continuous K nearest neighbors in road networks
H Ferchichi, J Akaichi - J. Software Syst. Dev., 2016 - academia.edu
The problem of searching the continuous k Nearest Neighbor (CkNN) objects in road
networks is a major challenge due to the highly dynamic nature of the road network …
networks is a major challenge due to the highly dynamic nature of the road network …
[HTML][HTML] Performance characterization of in-memory data analytics on a scale-up server
AJ Awan - 2016 - diva-portal.org
The sheer increase in volume of data over the last decade has triggered research in cluster
computing frameworks that enable web enterprises to extract big insights from big data …
computing frameworks that enable web enterprises to extract big insights from big data …