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Data-intensive computing
Known as:
Data-intensive research
, Data intensive
, Data-intensive tasks
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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 Hadoop
Apache Hive
Big data
C++
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Broader (1)
Parallel computing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Power management of online data-intensive services
David Meisner
,
Christopher M. Sadler
,
L. Barroso
,
W. Weber
,
T. Wenisch
International Symposium on Computer Architecture
2011
Corpus ID: 13789749
Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call…
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Highly Cited
2011
Highly Cited
2011
Sedic: privacy-aware data intensive computing on hybrid clouds
Kehuan Zhang
,
Xiao-yong Zhou
,
Yangyi Chen
,
Xiaofeng Wang
,
Yaoping Ruan
Conference on Computer and Communications…
2011
Corpus ID: 18777447
The emergence of cost-effective cloud services offers organizations great opportunity to reduce their cost and increase…
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Highly Cited
2010
Highly Cited
2010
Spark: Cluster Computing with Working Sets
M. Zaharia
,
Mosharaf Chowdhury
,
Michael J. Franklin
,
S. Shenker
,
I. Stoica
USENIX Workshop on Hot Topics in Cloud Computing
2010
Corpus ID: 263897801
MapReduce and its variants have been highly successful in implementing large-scale data-intensive applications on commodity…
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Highly Cited
2010
Highly Cited
2010
Network traffic characteristics of data centers in the wild
Theophilus A. Benson
,
Aditya Akella
,
D. Maltz
ACM/SIGCOMM Internet Measurement Conference
2010
Corpus ID: 207183792
Although there is tremendous interest in designing improved networks for data centers, very little is known about the network…
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Highly Cited
2009
Highly Cited
2009
The Fourth Paradigm: Data-Intensive Scientific Discovery
Tony (Anthony) John Grenville Hey
2009
Corpus ID: 37174890
This presentation will set out the eScience agenda by explaining the current scientific data deluge and the case for a “Fourth…
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Highly Cited
2009
Highly Cited
2009
Quincy: fair scheduling for distributed computing clusters
M. Isard
,
Vijayan Prabhakaran
,
J. Currey
,
Udi Wieder
,
Kunal Talwar
,
A. Goldberg
Symposium on Operating Systems Principles
2009
Corpus ID: 207175615
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing…
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Highly Cited
2003
Highly Cited
2003
The Google file system
Sanjay Ghemawat
,
H. Gobioff
,
Shun-Tak Leung
Symposium on Operating Systems Principles
2003
Corpus ID: 221261373
We have designed and implemented the Google File System, a scalable distributed file system for large distributed data-intensive…
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Highly Cited
2002
Highly Cited
2002
Decoupling computation and data scheduling in distributed data-intensive applications
K. Ranganathan
,
Ian T Foster
Proceedings 11th IEEE International Symposium on…
2002
Corpus ID: 73493
In high-energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs…
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Highly Cited
2001
Highly Cited
2001
Secure, Efficient Data Transport and Replica Management for High-Performance Data-Intensive Computing
W. Allcock
,
J. Bester
,
+7 authors
Ian T Foster
Eighteenth IEEE Symposium on Mass Storage Systems…
2001
Corpus ID: 2857001
An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific…
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Review
1987
Review
1987
Semantics and implementation of schema evolution in object-oriented databases
J. Banerjee
,
Won Kim
,
Hyoung-Joo Kim
,
H. F. Korth
ACM SIGMOD Conference
1987
Corpus ID: 4378334
Object-oriented programming is well-suited to such data-intensive application domains as CAD/CAM, AI, and OIS (office information…
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