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Data-intensive computing

Known as: Data-intensive research, Data intensive, Data-intensive tasks 
Data-intensive computing is a class of parallel computing applications which use a data parallel approach to processing large volumes of data… 
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Related topics

Related topics

28 relations
Apache HadoopApache HiveBig dataC++

Broader (1)

Parallel computing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Deep learning in remote sensing: a review
Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important… 
Highly Cited
2014
Highly Cited
2014
Nebula: Distributed Edge Cloud for Data Intensive Computing
Centralized cloud infrastructures have become the de-facto platform for data-intensive computing today. However, they suffer from… 
Highly Cited
2014
Highly Cited
2014
The Fog computing paradigm: Scenarios and security issues
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides… 
Highly Cited
2011
Highly Cited
2011
Hyracks: A flexible and extensible foundation for data-intensive computing
Hyracks is a new partitioned-parallel software platform designed to run data-intensive computations on large shared-nothing… 
Highly Cited
2007
Highly Cited
2007
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process a vast amount of… 
Highly Cited
2001
Highly Cited
2001
Secure, Efficient Data Transport and Replica Management for High-Performance Data-Intensive Computing
An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific… 
Highly Cited
2001
Highly Cited
2001
RoadRunner: Towards Automatic Data Extraction from Large Web Sites
The paper investigates techniques for extracting data from HTML sites through the use of automatically generated wrappers. To… 
Highly Cited
2000
Highly Cited
2000
Web Modeling Language (WebML): a modeling language for designing Web sites
1998
1998
Data-intensive computing
Computational grids provide access to distributed compute resources and distributed data resources, creating unique opportunities… 
Review
1987
Review
1987
Semantics and implementation of schema evolution in object-oriented databases
Object-oriented programming is well-suited to such data-intensive application domains as CAD/CAM, AI, and OIS (office information… 
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