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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.
2012
2012
Cloud Computing: Data-Intensive Computing and Scheduling
As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data… 
Highly Cited
2010
Highly Cited
2010
Statistical Workloads for Energy Efficient MapReduce
Energy efficiency is a growing concern in modern datacenters. As Internet services increasingly rely on MapReduce workloads to… 
2007
2007
Improvements on dynamic adjustment mechanism in co-allocation data grid environments
Abstract Several co-allocation strategies have been coupled and used to exploit rate differences among various client-server… 
2006
2006
Learning object models from semistructured Web documents
This paper presents an automated approach to learning object models by means of useful object data extracted from data-intensive… 
Highly Cited
2002
Highly Cited
2002
OFDM: Back to the Wireless Future
The key limitation for wireless technologies has been slow transmission rates that didn't come close to providing the… 
Highly Cited
2000
Highly Cited
2000
Integrating Database and Dialogue Design
Abstract. The user interface of data-intensive information systems may be described as a collection of semi-independent dialogues… 
1999
1999
Intelligent mobile agents: towards network fault management automation
Mobile agents, equipped with intelligence, provide a relatively new technology that will help automate network management… 
Highly Cited
1996
Highly Cited
1996
Module assignment for low power
We investigate the problem of minimizing the total power consumption during the binding of operations to functional units in a… 
Highly Cited
1990
Highly Cited
1990
Enhancing Performance in a Persistent Object Store: Clustering Strategies in O2
We address the problem of clustering complex data on disk to minimize the number of I/O operations in data intensive applications… 
Highly Cited
1988
Highly Cited
1988
Process and dataflow control in distributed data-intensive systems
In dataflow architectures, each dataflow operation is typically executed on a single physical node. We are concerned with… 
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